Published in 2016
K.Gomathi, K.Mythily, S.Poovarasi, S.Selvakanmani
This paper proposes a click based Graphical CAPTCHA to overcome the spyware attacks. In case of traditional Text-Based CAPTCHA's user normally enters disorder strings to form a CAPTCHA, the same is stored in the key loggers where spywares can decode it easily. To overcome this, Click-Based Graphical CAPTCHA uses a unique way of verification where user clicks on a sequence of images to form a CAPTCHA, and that sequence is stored in pixels with a random predefined order. Captcha as graphical passwords (CaRP) offers protection against online dictionary attacks on passwords, which have been for long time a major security threat for various online services. We are integrating the captcha technology with PCCP (called Persuasive cued click points) or Click based password system for higher security. It offers higher security when compared to the existing Captcha Technology. The password scheme in Graphical Captcha is highly secure and it’s better when compared to the existing technology.
Graphical password, Relay attack, CaRP, PCCP, dictionary attack, Security Primitive.
G.Preethi, Dr.P.Marikkannu
Since the mobile devices become more popular because of its advanced functionality, it is targeted by more malicious and intrusive applications. Even though there are more security measures are available for these systems, it is failed to meet the user reliance to make decisions. In android devices, the installation of any android apps seeks a user permission for avoiding the upcoming vulnerabilities. The user decision for installing certain app is considering the risk information. When these risk information is vast and more complex, it is ignored by the user, which leads the wrong installation decision. For turning the user’s focus to read the risk or permission information before installing any app, the risk information is provided in a summary and more understandable format. We propose a combined technique of naïve algorithm and sentiment classification for efficiently conveying such risk information to user. By this, the good or correct decision is made by the user, which prevents the android devices from more system vulnerabilities.
Mobile security, risk communication, smart phones, risk score.
B.Praveen Kumar, N.Haripreethi, S.Shilpa, B.Bharathi
In computer networking, IP address spoofing or IP spoofing is the creation of Internet Protocol (IP) packets with a forged source IP address, with the purpose of concealing the identity of the sender or impersonating another computing system. Many mechanisms have been introduced to find the real location of the spoofer, but the spoofer changes his IP address dynamically and thus finding the mother IP is difficult and it adds complication in finding the real location. The recent mechanisms find the last hit IP address of the spoofer. In this paper we propose a mechanism to find the mother IP address of the spoofer i.e. the original IP address with the help of the last hit IP address.
Spoofing, IP trace back, DOS.
B.Praveen Kumar, M.R.Priyanka, C.Radhika, A.Subashini
Concurrency is the ability of a system to allow for several operations to be carried out simultaneously. The ability to offer concurrency is unique to databases. This is one of the main properties that separates a database from other forms of data storage like spreadsheets.Duplicate detection lets organizations set duplicate detection policies and create duplicate detection rules for business and custom entities. These rules can be applied across different record types which allows for detection of fraud that takes place while rating a product in websites. For example, an organization may define that a lead is a duplicate of a contact, if they have the same name, same IP address, same ID. Based on the duplicate detection rules set by the administrator, the system alerts the admin about potential duplicates. To maintain data quality, you can schedule a duplicate detection job to check for duplicates for all records that match a certain criteria. You can clean the data by deleting, deactivating or merging the duplicates reported by a duplicate detection job. The proposed system adds more strength for detection of duplication by using ranking methodology.
Duplicate detection, Data cleaning, Record linkage, Data deduplication.
Pranamita Nanda, P.Revathy, V.Gayathri, V.Mahalakshmi
Today Internet has become an integral part of most of our life. The attempt to display media files through Internet was started from the mid-20th century. Video distribution is pointed out as one of the most promising applications of the Internet. Nevertheless, this application is a costly service to provide because of its quality-of-service requirements and the number of potential users. In order to guarantee scalability, providers often serve low-quality videos with no continuous reception. Thus, most of the users are not satisfied with the quality of received video. The proposed research work aims to implement the Video on Demand Service in Cloud Environment in a more secure, scalable and cost effective manner. This paper addresses the problem of optimizing the playback delay experienced by a population of heterogeneous clients, in video streaming applications. We consider a scenario, where clients subscribe to different portions of a scalable video stream, depending on their capabilities. This paper examines the challenges that make simultaneous delivery and playback, or streaming, of video difficult, and explores algorithms and systems that enable streaming of on demand video over packet networks such as the Internet. Prediction Based Resource Algorithm is proposed that the video content is distributed in the form of frames and considering random frames to be sequentially loaded into the user memory .To provide security to the provided content ,the uploaded file is manually audited. This minimizes the buffering delay of the video content irrespective of the bandwidth and provides appropriate content to the clients.
cloud computing, video on demand, buffering delay, performance analysis, audit.
Dr.M.Newlin Rajkumar, S.Mohan Kumar, V.Dhurka
In Android’s mobile application main effective defence mechanisms is how to against malicious apps is a risk score communication system which, before a user installs an app, while user installing any apps in their mobile phone to be get the permissions for app requires, so here we have to make the right decisions to follow the based on the risk instructions. in this point of to be ineffective as it presents the risk information. Every app is should be specified the risk in your mobile phone while we install the apps. In this connection apps will requires lot of technical concept and time to control the risk score information. We have to discuss the desired properties of risk signals, all the risk should be find out and showing in a one apps. it is relative risk scores for Android apps are implementing to the user and users can utilize when choosing apps. We present rate of apps we developed to install and user will make them to understand the concept. In this way we have some of the techniques to generate risk signals how we have to avoid the range of all the risk while, before install the apps. Here to be follow the important techniques are implemented to control the risks. This is very effectively identify the android malware attack, it is simple to understand, and very easy to use.
Android, Application, Communication, Malicious, Malware attack, Risk.
R.Raja, V.Nishanthi, B.Keerthana, S.Monisha
Data security and privacy are the critical issues for remote data storage. A secure user enforced data access control mechanism must be provided before cloud users have the liberty to outsource sensitive data to the cloud for storage. With the emergence of sharing confidential corporate data on cloud servers, it is imperative to adopt an efficient encryption system with a fine-grained access control to encrypt outsourced data. Existing remote checking methods for regenerating-coded data only provide private auditing, requiring data owners to always stay online and handle auditing, as well as repairing, which is sometimes impractical. In this paper, we propose a public auditing scheme for the regenerating-code-based cloud storage. To solve the regeneration problem of failed authenticators in the absence of data owners, we introduce a proxy, which is privileged to regenerate the authenticators, into the traditional public auditing system model. Attribute-based encryption is a public key based encryption that enables access control over encrypted data using access policies and ascribed attributes. Extensive security analysis shows that our scheme is provable secure under random oracle model and experimental evaluation indicates that our scheme is highly efficient and can be feasibly integrated into the regenerating- code-based cloud storage.
Cloud storage, regenerating codes, public audit, authenticator regeneration, proxy, encrypted public key.
S.Aiswarya, B.Gayatri, S.Gayathri, M.Archana Devi
Image search is a specialized data search used to find images. Due to the lack of visual information and context of information, the searching results are unsatisfactory at most of the times. Therefore, image re-ranking which incorporates visual features of images to improve text based image searching is introduced. In this paper, we propose to exploit semantic attributes for image search re-ranking. i.e. The is image represented by an attribute feature. Then we propose a visual-attribute joint hyper graph learning approach to simultaneously explore two information sources. A hypergraph is constructed to model the relationship of all images. We conduct experiments on more than 1,000 queries in MSRA-MMV2.0 data set. The experimental results demonstrate the effectiveness of our approach.
Image Search, Feature Extraction, ranking factors
K.Tamilarasi, J.Dhanajeyan, K.P.Nithin Kumar, T.Naveen Kumar
Social network analysis is used to extract features of human communities and proves to be very instrumental in a variety of scientific domains. The dataset of a social network is often so large that a cloud data analysis service, in which the computation is performed on a parallel platform in the cloud, becomes a good choice for researchers not experienced in parallel programming. In the cloud, a primary challenge to efficient data analysis is the computation and communication skew (i.e., load imbalance) among computers caused by humanity’s group behaviour (e.g., bandwagon effect). Traditional load balancing techniques either require significant effort to rebalance loads on the nodes, or cannot well cope with stragglers. In this paper, we propose a general straggler-aware execution approach, SAE, to support the analysis service in the cloud. It offers a novel computational decomposition method that factors straggling feature extraction processes into more fine-grained sub processes, which are then distributed over clusters of computers for parallel execution. Experimental results show that SAE can speed up the analysis by up to 1.77 times compared with state-of-the-art solutions.
Feature Extraction Process, Straggler, Parallel Execution, Cloud Storage, Load Balancing
Dr. Soundararajan, Janaat.V, Pothireddy Akhila, Keerthana.M
Ranking fraud in the mobile app market are fraudulent or deceptive activities that have a purpose of bumping up the apps in the popularity list. The existing app stores pose drawbacks such as inability to provide the number of users for an app. Also viewing and downloading an app by the same user increases its hit rate. This makes the app developers to easily commit ranking fraud. While the importance of preventing ranking fraud has been widely recognized, there is limited understanding and research in this area. To end this, in this paper, we provide a fraud discovery system for mobile apps that can overcome the shortcomings of the existing system. This system aims at reducing the fraud ranking that happens by allowing the users to download the app using a secret key provided to them. It provides a way to track the user who involved in the fraud activity and thus makes the admin to maintain a list of unique users for an app. Thus it can make the admin of the app store to identify and award the original apps owners alone. Also through this system the users can be directed to download the genuinely ranked apps.
Ranking Fraud, App Rating, Mobile App, Leaderboards, App Store,Hit rate.
Aswin Kumar.P, Bhagavan Iyyappan.J, Murali Krishna Kumar.U, Chitra.R
The online social network plays a vital role in the day to day life for much purpose. It has been found that the web is used as a tool by many hate groups or extremist groups to promote various kinds of ideologies and practice several kinds of acts. Some of the web forums are being used for open discussions on critical issues influenced by various radical thoughts. In the web forums the influential users have control and dominate the newly joined innocent users through their radical thoughts. In this paper we have proposed an approach to identify the ranked list of influential users and designed an algorithm based on page rank to rank the radically influential users. The Contingency Coefficient measure is found as the most promising measure, when embedded in the customized Page Rank algorithm along with the radicands measure. The collocation measure deals with such ranking problem more effectively than textual and temporal similarity based measures. We have formulated a new measure Sentiment Analysis. It is the process of determining whether a piece of writing is positive, negative or neutral. It's also known as opinion mining, deriving the opinion or attitude of a speaker to eliminate the radical activities.
Social Media, Web Forum Discussions, Influential users, Ranking, Sentiment Analysis.
Sunil Anarase, Pratik Padher, Govind Thavre, Swati Gawhale
This is the world of wireless technology. Number of systems and applications using wired data transfer are now replaced by wireless communication media. We are developing this system for big premises such as colleges, hospitals, industries etc. Our aim is to use this wireless technology for visitor guide and visitor tracking application. The system will consist of one handheld unit given to a visitor at the entrance of premises by security persons. The visitor will enter the destination where he wants to go or the person to whom he wants to meet. This handheld unit will guide him to reach the destination. He doesn’t need to ask anyone. Another feature of this system is that it is wirelessly connected to security unit located in security cabin, where the security person will be able to track the visitor on premise map on Smartphone. There will be wireless link between handheld unit and security unit. For this we will use Bluetooth module and RF media for data transfer.
Smartphone, Bluetooth, RFID Reader, visitor guide, handheld unit, security unit
Shilpa Mary Philips, N.Raja Rajeswari, B.Hema
Recently, a new technique will replace conventional radar systems and be deployed as part of the next generation air transportation systems. Unlike in traditional radar systems where aircraft only respond to interrogations by ground stations. In the ADS-B system, aircraft continuously obtain their positions based on some satellite positioning techniques (e.g., GPS) and periodically broadcast their positions as well as some other information such as the current velocity to ground stations and other aircraft. Recently, flight tracker Web sites based on the mashup of ADS-B data have gained popularity, providing Web users with a visual overview of air-traffic around the world. Each aircraft equipped with an ADS-B device keeps broadcasting plaintext messages to other aircraft and the ground station controllers once or twice per second. The lack of security measures in ADS-B systems makes it susceptible to different attacks. Among the various security issues, we investigate the integrity and authenticity of ADS-B messages. In this project we demonstrate that attacks range from passive attacks (evasdropping) to active attacks(message jamming ,replying of injection) .This prompts the idea to bring RSA algorithm and HMAC to generate signature in which we can overcome and predict the attack and can ensure the integrity of message.
RSA,Three level Identity based signature, Integrity, HMAC,Mashup.
V. Manoj Kumar, S.Prathap, B.Gowtham, G.Sriram
Our project is specially designed Automated Teller Machine which can be operated independently by visually impaired person, known as Speaking ATM. Speaking ATM is the preferable medium for Blind people to get their money in demand. Talking ATM invented in Australia is based on unique voice recognition system. Our project overcomes the disadvantage of unique voice interface and difficulty in searching for buttons in ATM. Here we have procedures for providing authentication to authorised users. The technique is Personal Identification Number(PIN), which means that users can easily access their account. Delivery of balance statement is based on voice response by using text to voice conversion technique. Cloud storage is done, by which a user use this file under “pay and use” mechanism.
ATM, PIN, MD5 algorithm
Vignesh.S, Visnu.S, Hariharan.R, Pranamitha Nanda
We propose a joint segmentation and classification framework for sentiment analysis. Existing sentiment classification algorithms typically split a sentence as a word sequence, which does not effectively handle the inconsistent sentiment polarity between a phrase and the words it contains, such as “not bad” and “a great deal of”. We address this issue by developing a joint segmentation and classification framework (JSC), which simultaneously conducts sentence segmentation and sentence level sentiment classification. Specifically, we use a log-linear model to score each segmentation candidate, and exploit the phrasal information of top-ranked segmentations as features to build the sentiment classifier. A marginal log-likelihood objective function is devised for the segmentation model, which is optimized for enhancing the sentiment classification performance. The joint model is trained only based on the annotated sentiment polarity of sentences, without any segmentation annotations. To increase the accuracy of sentiment analysis this process uses Parts of Speech (POS) Parsing technique with NLP tool.
Joint Segmentation, Sentimental Analysis, NLP, POS technique, Sentence Analysis, Emotion Detection
Pranamitha Nanda, B.Daniel Nepoleon, M.Mohamed Faizal Shariff, K.Nethajhi
This paper proposes a security enhancement option for resource matchmaking across multiple clouds. Through analysis of the integrated relationship between users, dealers, and service resources, this paper proposes a scheme of hiding resources that can effectively reduce the user's load and improve reliability of the system. Based on multidimensional resource service operators, we model the problem of security by hiding files by partitioning them into many files and encrypting them with a key. This adaptive approach can overcome the limitations of traditional schemes, whereby the resources are shared with service providers who are anonymous to the user. As a resultthe broker can efficiently and accurately prepare the most trusted resources in advance, and thus provide more dependable resources to users. Our experiments yield interesting and meaningful observations that can facilitate the effective utilization of hiding files in a large-scale multi-cloud environment.
Cloud broker, multi-cloud environment, secure cloud, resource matchmaking
E. Silambarasan, M.Sindhuja, T.Pragathi, S.Siva Abbirammi, K.Gayathri
Web Page Noise Cleaning is one of the new research areas of study for removing the noise patterns of web pages for effective web mining. The World Wide Web contains large amount of web pages which are accessible to users. With conventional data or text, Web pages generally contain a large amount of noise information that is not part of the main contents of the web pages, e.g., advertisement banners, navigation bars, and disclaimer/copyright notices. The main objective of this area is removing such irrelevant information (i.e. Web Page Noise or Local Noise) in Web pages that can seriously harm Web mining task such as clustering and classification etc. For detection and removal of noises a new DOM tree structure is proposed. After DOM tree construction, we can implement DUSTER framework for crawling the document using normalized rules. The result shows the remarkable increase in F score and accuracy is obtained. In this work, we focus on detecting and eliminating local noises in Web pages to improve the performance of Web mining that is Web page clustering and classification. Then our experimental results show that improved performance at the time of classification and clustering.
Noise cleaning, DOM tree, DUSTER , web mining, clustering, classification
Aniket Rajkiran Sontakke, Chetna Jaywant Sonawane, Kiran Ashok Hingmire
Cloud Computing is the vision of computing as a utility, here user can store the data in the cloud , to enjoy the high quality service and application from a mutual pool of formation computing resources. Through data outsourcing, users can be reassured from the burden of local storage data and its maintenance. For security of cloud data storage enable public auditability is severe importance so users can refuse to an exterior survey party to check the virtue of out sourced data when required. To firmly suggest an impressive TPA, the specified fundamental requirements are: A) In TPA, we are approaching the privacy preserving public auditing for security of data storage in cloud computing system by using automatic blocker.B) Third party auditor should be sufficient to conveniently survey the data storage of cloud without exhausting the local copy of data & suggest no more online difficulty to the user of cloud. Individually compact with automatic blocker & random mask technique and & deed the public key based validation. This system are secure and highly efficient shows by extensive security and performance searching .
Cloud computing, Public auditing, TPA, RSA
Dr. N.Kumaresan, S.Shiny, K.Sudha, S.Mehala
People uses transport to move from one location to another. Mode of transports includes air, rail, road, water, cable, pipeline and space. Public transport remains the primary mode of transport for most of the countries and India’s public transport systems are among the most heavily used in the world. For personal use a bus is of advantage as it is great way to save money. Buses are also famed for being late. The people need to wait long time to have bus, which is waste their time. This paper proposes the implementation of real time accurate bus arrival information system. The system focuses upon real-time bus operations information which includes the current location of bus and estimated arrival time at the next stop, and distributes this information to the public in an effort to reduce passenger waiting time. GPS is fixed inside the bus. It helps to monitoring the bus route continuously using latitude and longitude via Google maps. Moreover it helps to find out the exact arrival time of the bus very quickly. It is Global Positioning System (GPS) and Global System for Mobile Communications (GSM) combined modern tracking system for exact bus arrival time and location using mobile phones.
GPS, GSM, Bus, Arrival time, Location, People, mobile phone.
E.Silambarasan, V.Amrudha Devi, A.Abirekha, P.Bhavani Devi
Photo sharing is an attractive feature which popularizes Online Social Networks. Unfortunately, it may leak user’s privacy if they are allowed to post, comment, and tag a photo freely. To prevent possible privacy leakage of a photo, we design a mechanism to enable each individual in a photo be aware of the posting activity and participate in the decision making on the photo posting. By combining digital signature along with the shared image we can provide the data security for the image. The User can share the image combined with the steganography digital signature. If any other user who wants to share that particular image the permission request is automatically redirect to the user if the owner is giving privilege to share the data then it will be posted.
Social network, photo privacy, secures multi-party computation, Face Recognition, support vector machine, steganography.
DLK.Vijaybharath, S.Arvind, R.Rohith
In Distributed Cloud computing provides a technique to break up a problem so that we can have a whole bunch of computers work on it at the same time in Cloud Computing. Health records enable the global availability of medical data. This has numerous benefits for the quality of offered services. However, privacy concerns may arise as now both the patient’s medical history as well as the doctor’s activities can be tracked. In this paper, We proposed, a novel authorized accessible privacy model (AAPM). Patients can authorize physicians by setting an access tree supporting flexible threshold predicates. Based on AAPM, a patient self-controllable multilevel privacy-preserving cooperative authentication scheme (PSMPA) in the distributed m-healthcare cloud computing system is proposed, realizing three different levels of security and privacy requirement for the patients. The formal security proof and simulation results show that our scheme far outperforms the previous constructions in terms of privacy-preserving capability, computational, communication and storage overhead.
Distributed Cloud computing, Health Insurance, authentication
Aiswarya.S, Santhiya.T, Harini.R, Vinitha.S
Per-set keyword’s search is an intuitive paradigm for searching linked data sources on the web. We propose to route keywords only to relevant sources to reduce the high cost of processing Pre-set search queries over all sources. We propose a novel method for computing top-k routing plans based on their potentials to contain results for a given Pre-set query. We employ a keyword-element relationship summary that compactly represents relationships between pre-set keywords and the data elements mentioning them. A multilevel scoring mechanism is proposed for computing the relevance of routing plans based on scores at the level of keywords, data elements, element sets, and sub graphs that connect these elements. Experiments carried out using 150 publicly available sources on the web. That valid plan (precision@1 of 0.92) that are highly relevant (mean reciprocal rank of 0.89) can be computed in 1 second on average on a single PC. Further, we show routing greatly helps to improve the performance of Preset Keyword search, without compromising its result quality
Pre-set keyword, Data element, Top-k algorithm, Searching linked data source, C4.5query, Rank aggregation.
P.Revathi, P.R.Jaya Kavitha, R.Nithya
:In wireless communications, significant information are getting exchanged frequently. Inorder to avoid the illegal access of that sensitive information remote authentication is being done extensively. Remote authentication involves the submission of encrypted information, along with visual and audio cues. Incase of remote examination or interviewing, Trojan Horse and other attacks can cause severe security threats to the sensitive information. Inorder to overcome these issues regarding security, we propose a robust authentication mechanism based on encryption and watermarking(data hiding). Assume that a user wants to be remotely authenticated, initially user’s video object (VO) is captured by using a camera. Next, one of his/her biometric signals is encrypted by using Blow fish algorithm. Then the encrypted biometric signal and the captured human face is watermarked using LSB(Least Significant Bit) Algorithm.The LSB algorithm will read the encrypted biometric image and find the RGB value of each pixel. Then embed it into the appropriate RGB value of the captured human face. This enhances the security of the user information and remote authentication can be done more securely.
Remote authentication,encryption,watermarking,Blow fish algorithm,Least Significant Bit algorithm.
T.Sneha, E.Karthiyayeni, P.Sailaja
Transfer speed effective execution of online enormous information examination in telecom systems requests for customized arrangements. Existing gushing investigation frameworks are intended to work in extensive server farms, accepting boundless transmission capacity between server farm hubs. Applying these arrangements unmodified to disperse telecom mists, neglects the way that accessible transfer speed is a rare and expensive asset making the telecom system significant to end-clients. This article presents Continuous Hive ,a gushing investigation stage custom-made for appropriated telecom mists. The principal commitment of CHive is that it streamlines inquiry arrangements to minimize their general data transfer capacity utilization when sent in a circulated telecom cloud. Moreover, these enhanced inquiry arranges have a high level of parallelism implicit, profiting rate of execution. Early examinations on information from an extensive portable administrator demonstrate that CHive can yield data transmission.
Query Optimization, Parallel Processing, Cloud Computing, Distributed Computing, Performance Optimization
S.Harini, R.Priyankaa, K.G.Gnaaneeshwari, S.Rajeshkumar
Cloud computing turn’s information technology into ordinary commodities and utilities by the pay-per-use pricing model. A service provider rents resources from the infrastructure providers and provides services to customers. A customer submits its request to a service provider and pays for it based on the amount and the quality of the provided service. The limited wireless spectrum becoming a bottleneck for meeting today’s fast growing demands for wireless data services. Most specifically, there is very little spectrum left that can be licensed to new wireless services and applications. A double resource renting scheme is designed firstly in which short-term renting and long-term renting are combined aiming at the existing issues. A multiserver system maintains a queue with infinite capacity. When the incoming service requests cannot be processed immediately after they arrive, they are firstly placed in the queue until they can be handled by any available server. The first-come-firstserved (FCFS) queuing discipline is adopted. Finally, a series of calculations are conducted to compare the profit of our proposed scheme with that of the single renting scheme. The results show that our scheme can not only guarantee the service quality of all requests, but also obtain more profit than the latter.
multi-server system, cloudcomputing, queuingdiscipline,services quality,wireless data server, singlerenting scheme,
R.Uma, G.Kiruba, D.Devi, D.Selvamani, B.Vaishnavi
Unscrupulous users increasingly find Online Social Networking (OSN) platforms as lucrative targets for malicious activities, such as sending spam and spreading malware. The profitability of such activities and the fact that a large portion of the OSN communication takes place over symmetric social links. Unwanted friend requests in online social networks (OSNs), also known as friend spam, are among the most evasive malicious activities. Friend spam can result in OSN links that do not correspond to social relationship among users, thus pollute the underlying social graph upon which core OSN functionalities are built, including social search engine, ad targeting, and OSN defense systems. To effectively detect the fake accounts that act as friend spammers, we propose a system called vote trust. It systems from the observation on social rejections in OSNs, i.e., even we will maintained fake accounts inevitably have their friend requests rejected or they are reported by legitimate users. Our key insight is to partition the social graph into two regions such that the aggregate acceptance rate of friend requests from one region to the other is minimized. This design leads to reliable detection of a region that comprises friend spammers, regardless of the request collusion among the spammers. Meanwhile, it is resilient to other strategic manipulations. Then extend the project to protect the image piracy using water marking techniques in online social networks.
Online social network, Sybil attack, Sybil detection, Sybil block, Spam.
H.Anila Glory, P.S.Revathy, S.Anusha, G.Sandhya
Even though the technology faces several significant challenges, many vendors and industry observers predict a bright future for cloud computing. Cloud computing refers to the delivery of computing resources over the Internet. Because of its privacy, many encryption scheme has been proposed. The encryption process is converting electronic data into another form, called cipher text, which cannot be easily understood by anyone except the authorized parties. Still there are ways where the data can be decrypted back to original text. In this paper, we introduce a new scheme for the security in cloud using key protocol. This system generates a key for every user who have access to the file on the cloud server. Since this system is based on key protocol, the coercers will not be able to attack the file thus maintaining a high security.
Randomized key protocol, Attribute-Based Encryption, Cloud Storage, cipher text.
I.Anisha Agnes, K.Nivetha, M.Rajeswari
One-to-many data linkage is an essential task in many domains, yet only a handful of prior publications have addressed this issue. Furthermore, while traditionally data linkage is performed among entities of the same type, it is extremely necessary to develop linkage techniques that link between matching entities of different types as well. In this paper we propose a new one-to-many data linkage method that links between entities of different natures. The proposed method is based on a one-class clustering tree (OCCT) which characterizes the entities that should be linked together. The tree is built such that it is easy to understand and transform into association rules, i.e., the inner nodes consist only of features describing the first set of entities, while the leaves of the tree represent features of their matching entities from the second dataset. We propose four splitting criteria and two different pruning methods which can be used for inducing the OCCT.The method was evaluated using datasets from three different domains. The results affirm the effectiveness of the proposed method and show that the OCCT yields better performance in terms of precision and recall (in most cases it is statistically significant) when compared to a C4.5 decision tree-based linkage
Text mining, Text feature extraction, Text classification
Banu.M, Muthra.S, Hema.S, Nalini.S
Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and subjectivity in text, has received considerable attention in recent years. In contrast to the traditional coarse-grained sentiment analysis tasks, such as document-level sentiment classification, we are interested in the fine-grained aspect-based sentiment analysis that aims to identify aspects that users comment on and these aspects’ polarities. Aspect-based sentiment analysis relies heavily on syntactic features. However, the reviews that this task focuses on are natural and spontaneous, thus posing a challenge to syntactic parsers. In this paper, a set of words are defined in a dictionary. In any chatting application or in social media, the user will have many followers and there will be lots of messages or tweets. If the member of the group uses the offense word will be blocked by the page administrator, thus providing a comfort level to the other users from such harmful users. This will help to maintain a social networks for its dedicated purpose.
Cybersecurity, Sentiment Classification, Text Analytics, Deep Learning, Social Network Analysis
Arunjunai Selvi.M, Deekshitha.L, Nithiyalakshmi.V, Nithiyalakshmi.V
The process of analyzing data from different perspectives and summarizing it into useful information is defined as data mining (knowledge discovery).It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. We focused on bridging the vocabulary gap between health seekers and providers to code the medical records by utilizing local mining and global learning approaches. Generally, the community-based healthcare service including HealthTap2, HaoDF3 and WebMD4 are disseminating personalized health knowledge and connecting patients with doctors worldwide via question answering. It is difficult to avail online always by health service providers (Doctors). Further, most of the previous work simply utilizes the external medical dictionary to code the medical records rather than considering the corpus-aware terminologies which is focused on hospital generated health data or health provider released sources by utilizing either isolated or loosely coupled rule-based and machine learning approaches. We propose a novel scheme that is able to code the medical records with corpus-aware terminologies .Additional to these, we incorporated Separate Server Implementations for Local Mining and Global Learning, Medi Net Library, NLP Techniques, PDF Searching using Indexing and android applications for users.
Corpus-aware terminologies, Medi Net Library, NLP Technique, Local Mining, Global Learning
Kalpana.A.V, Ram Kumar.C, Avinash.R, Venketaramanan.B
Speech technology is one of the fastest growing modern engineering technology with a wide scope for application in various arenas and disciplines of life. It has many potential benefits and is useful to people in many walks of life. Nearly 20% of people of the world are suffering from various disabilities; many of them are blind or unable to use their hands effectively. The speech recognition systems inthose particular cases provide a significant help to them, so that they can share information with people by operating computer through voice input.This project is designed and developed keeping that factor into mind, and a little effort is made to achieve this aim. Our project is capable to recognize the speech and convert the input audio into text; it also enables a user to perform operations such as “open and close applications and windows, select text, media controls, read text, system termination, social interaction”etc.,by providing voice input. It also helps the user to open differentsystem software such as opening MS-paint, notepad and calculator. At the initial level effort is made to provide help for basic operations as discussedabove, but the software can further be updated and enhanced in order to cover more operations.
Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Human–Computer Interaction, Voice Assistant, Intelligent Automation
N.Bhavani, A.Gayathri, T.Eswari, K.Kalaivani, K.Kalaivani
Ranking fraud in the mobile App market refers to fraudulent activities which have a purpose of raise the apps in the popularity list. In fact, it is easy for App developers to boost their Apps sales or posting forged App ratings, to commit ranking fraud. To prevent this ranking fraud we provide a holistic view of ranking fraud detection system for mobile Apps. Specifically, we first propose to locate the ranking fraud by mining the leading sessions, of mobile Apps. Such leading sessions can be leveraged for detecting the abnormality or irregularity of App rankings. Furthermore, we investigate three types of evidences, i.e., ranking based evidences, rating based evidences and review based evidences, by modeling Apps’ ranking, rating and review behaviors through statistical hypotheses tests. In addition, we propose an optimization based aggregation method to integrate all the evidences for fraud detection.
Mobile Apps, ranking fraud detection, evidence aggregation, rating and review.
Raja.R, Sathya Narayanan.R.K, Vasanth.P, Dinesh Babu.P
The growing trend in cloud computing is the combination of Big Data and Big Data analytics that has been driven with rapid evolution of data center technologies towards more cost-effective solutions. Existing system Cura, for provisioning cost-effective MapReduce services in acloud. First, Cura is designed to provide a cost-effective solution to efficiently handle MapReduce production workloads that have a significant amount of interactive jobs. Second, unlike existing services that require customers to decide the resources to be used for the jobs, Cura leveragesMapReduce profiling to automatically create the best cluster configuration for the jobs. While the existing models allow only a per-job resource optimization for the jobs, Cura implements a globally efficient resource allocation scheme that significantly reduces the resource usage cost in the cloud. Third, Cura leverages unique optimization opportunities when dealing with workloads that can withstand some slack.This project presents a cost-effective resource management framework called (IWD) Intelligent Waterdrop algorithm that aim to minimize the infrastructure cost in the datacentre. IWDis a new technique that was used to solve job shop scheduling problem in Cloud.The IWD may results into better performance than existing workflow scheduling algorithms.
MapReduce , Intelligent waterdrop , Frequent Data Mining,CURA.
S.Uthra, M.Hemavathi, R.Vinitha, K.Balachander
Location-based services have been widely adopted in many systems. Existing works employ a pull model or userinitiated model, where a user issues a query to a server which replies with location-aware answers. To provide users with instant replies, a push model or server-initiated model is becoming an inevitable computing model in the next-generation locationbased services. In the push model, subscribers register spatio-textual subscriptions to capture their interests, and publishers post spatio-textual messages. These calls for a high-performance location-aware publish/subscribe system to deliver publishers’ messages to relevant subscribers. The research challenges has been studied that arise in designing a location-aware publish/subscribe system. An R-tree based index is proposed by integrating textual descriptions into R-tree nodes. An efficient filtering algorithm is proposed and effective pruning techniques to achieve high performance. This method can support both conjunctive queries and ranking queries. Adding location-awareness to publish-subscribe middleware infrastructures would open-up new opportunities to use this technology in the hot area of mobile applications. On the other hand, this requires to radically change the way published events are matched against received subscriptions.
Middleware ,Location ,MBR filter, Token filter, ranking query, R-tree, spatial.
Roselinmary.A, Saranya.R, Jeevitha.B, Dr.Sugumar.R
Data auditing is the process of conducting a data review to measure how company's data is fit for agreed function. This engages profiling of data and assesses the collision of pitiable quality data on the organization's performance and profits. The systems are still not secure beside the collusion of cloud storage server as well as revoked group users during user revocation in practical cloud storage system. In this paper , we found out that the collusion attack in the exiting scheme .An efficient public integrity auditing scheme with secure group user revocation based on vector commitment plus verifier-local revocation group signature. We are providing each and every group user signature is unique and tracking user`s activities via session tracking methodology. If the users misuse the group signature mark as a hacker then intimate to cloud admin. Finally, the security
collusionattact,revocation,group,auditing,uniquesignature,tracking.
Abinaya.J, Chitra.R, Sangeetha.B, Sree Keerthi.V.K
Big data, can mine new knowledge for economic growth and technical innovation. Big data processing is emerging faster due to its high volume, velocity, and variety (referred to as “3V”) challenges. The flourishing of big data also hinges on fully understanding and managing newly arising security and privacy challenges. If the data is not authentic, new mined knowledge will be unconvincing. If privacy is not well addressed, people may be reluctant to share their data. Because security has been investigated as a new dimension, “veracity,” in big data. In this project we formalize the general architecture of big data analytics, identify the corresponding privacy requirements, and introduce an efficient and privacy Triple DES as an example in response to the security and privacy requirements in the data stored in cloud by health care systems.
Triple DES, De –identification, Server authentication, Database Encryption.
Dr.Murugeshwari.B, Padmapriya.B, KirupaMano.S, Subang.K
Context aware monitoring is an emerging technology that provides real-time personalised health-care services and a rich area of big data application. In this paper, we propose a approach to track continuously monitor the Health Records in an unstructured format. The Proposed model facilitates the analysis of big data inside the cloud environment. It first mines the trends and patterns the data of an individual patient with associated probabilities and utilities that knowledge to learn proper abnormal condition. The large amount of data is generated in Ambiant Assisted Living System using AES algorithm. The Proposed technique monitors patient’s Lab report such as BP, Diabetes etc. If the Patient’s report identified as a abnormal then the patient will get warning SMS.
Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Human–Computer Interaction, Voice Assistant, Intelligent Automation
S.Nathiya, U.Gowrisankar
Microaggregation is a technique for revelation limitation aimed at fortifying the seclusion of data subjects into micro data releases.like releasing medical data,census data etc. It has been subjected to generalization and repression to generate k-nameless data sets.Where the identity of each subject is invisible with in a group of k subjects.Unlike generalization ,microaggregation confusion the data and this additional conceal freedom allows upgrading data usefulness in several. Existing algorithms like k-nameless and t-reticence based on generalization and repression.k-nameless does not deal with reticence. This paper proposes and shows how to use microaggregation to generate n,t close data sets.The advantages of microaggregation with n,t reticence are examined,and the eventual aim of the project is to make relative examine and assess microaggregation algorithms for t-reticence and n,t reticence.
component; formatting; style; styling; insert (key words)
Praveen chander, S.E.Siva Ram, C.A.Bhuvaneshwaran
Transfer speed effective execution of online enormous information examination in telecom systems requests for customized arrangements. Existing gushing investigation frameworks are intended to work in extensive server farms, accepting boundless transmission capacity between server farm hubs. Applying these arrangements unmodified to disperse telecom mists, neglects the way that accessible transfer speed is a rare and expensive asset making the telecom system significant to end-clients. This article presents Continuous Hive ,a gushing investigation stage custom-made for appropriated telecom mists. The principal commitment of CHive is that it streamlines inquiry arrangements to minimize their general data transfer capacity utilization when sent in a circulated telecom cloud. Moreover, these enhanced inquiry arranges have a high level of parallelism implicit, profiting rate of execution. Early examinations on information from an extensive portable administrator demonstrate that CHive can yield data transmission.
Query Execution, Load Balancing, Performance Optimization, Big Data Processing, High-Performance Computing
K. Akshaya, K.Gangatharan, R.Vishnu Priya, N. Suresh Kumar
TheProposed architectonics comprises threemain units, such as Remote Sensing Big Data Acquisition Unit (RSDU), Data Processing Unit (DPU) and Data Analysis Decision Unit (DADU). First, RSDU acquires datafrom the satellite and dispatchesacquired data to the Base Station, where initial process takes place. Second, DPU plays a vital role in architecture, for efficient processing of real-time Big Data by providing filtration, load balancing, and parallel processing. Finally, DADU is the uppermosttier of the proposed scheme, which is responsible for compilation, storage of the outcome, and reproduction of decision upon the outcome received from DPU. Thus, it results in analyzing the actual time, for remote sensing Big Data using globe observatory system. Furthermore, the proficiency of storing incoming data to implement offline analysis on largely stored dumps, when required. Eventually, a detailed analysis of remotely sensed globe observatory Big Data for land and sea area are provided using hadoop and Canny edge detection algorithmwhich uses a multi-stage algorithm to detect wide range of edges in images.
Remote Sensing Big Data Acquisition Unit (RSDU), Data Processing Unit (DPU), Data Analysis Decision Unit (DADU),Big data, Hadoop, Canny edge detection algorithm.
S.Sivagami, D.Revathy, L.Nithyabharathi
The convincing development in Internet of Things (IoT) enables the solutions to spur the advent of novel and fascinating applications. The main aim is to integrate IoT aware architecture to enhance smart healthcare systems for automatic environmental monitoring of hospital and patient health. Staying true to the IoT vision, we propose a smart hospital system (SHS), which relies on different, yet complimentary, technologies, specifically RFID, WSN and smart mobile, interoperating with each other through a Constrained Application Protocol (CoAP)/IPv6 over low-power wireless personal area network (6LoWPAN)/representational state transfer (REST) network infrastructure. RADIO frequency identification technologies have been increasingly used in various applications, such as inventory control, and object tracking. An RFID system typically consist of one or several readers and numerous tags. Each tag has a unique ID. The proposed SHS has highlighted a number of key capabilities and aspects of novelty, which represent a significant step forward.
CoAP, healthcare, hybrid networks, radio frequency identification (RFID), REST, 6LoWPAN, smart environment, wireless sensor network (WSN).
G.R. Hemalakshmi, S.Ananthi, G. Emima Pon Glory
Web browsing on hand held smart devices consume enormous amount of energy especially during downloading of web pages. This energy consumption problem can be overcome by using the proposed methods. Downloading of webpages involve two phases, they are data transmission computation and layout computation. In our method it is intended to switch between various states like IDLE, DCH and FACH state in a way that changing the device among these states based upon the power and resource requirements. Then the attention time prediction technique is used to predict the user reading time of a web page and it checks whether the user reading time is greater than the threshold time if so then bring the device into low power state (i.e., FACH state) and prevent the high power consumption.
Data transmission computation, Energyconsumption, Hand held smart devices, Layout computation, Reading time threshold, Web browser.
Swetha.S, Dhivya.V, Ramani.E, Dr.R.Sugumar
Online transactions have become a part of everyday life for many users and it has emerged as a big sector of the entire online trade. Most of the online transactions depend upon card transactions that take place through a gateway. This gateway causes threat to inexperienced users about security for their confidential data such as: pin-number and passwords, actual insecurity due to hackers of the gateway, charges by the third-party gateway. The third-party gateway that charges lesser percentage of the amount transacted might provide less security. In-order to avoid such threats, avoiding the gateway by doing the transactions directly through the bank server is more secure, efficient and creates more trust among the users. As proposed system deals with reduction of perceived risk of cybercrime, this facilitates increased online service use. Triple DES algorithm is used here for secure payment information transfer.
Data Privacy, Threat Detection, Secure Authentication, Digital Forensics, Network Security
Maria Michael Visuwasam, Abijith Krishna.U, Balakumaran.M
Log data refers to a detailed list of application information, system performance, or user activities in a system with their respective timestamp. Logs are useful for keeping track of customer activities and understanding about the usage of the system. Logs can also be used for monitoring and ensuring the proper working of the system which can be reviewed chronologically. Systems usually store logs in MySQL databases and perform queries over them. They hugely rely on batch processing which does not support real-time search and analytics. Operations over the logs should be performed on real-time so that decisions and other improvements can be carried out as early as possible. Our proposed system ensures proper handling of logs, make them available for real-time search and store them in distributed environment. Proposed method uses Apache Kafka as message broker, Apache Hadoop HDFS for archival of log data and Elastic search to power near real-time search. Proposed system allows multiple clients to query log data, perform metrics and grouping analytics on them. We also make sure that logs are passed to the correct consumer through our message broker. Analytics over the log data helps us to visualize the pattern of usage of the system and its features with which we decide the performance improvements and business decisions. Further these can be represented as charts, graphs or tables for better visualization.
Cloud Computing, Data Indexing, Scalable Architecture, Information Retrieval, Big Data Analytics
M.Linda Alice, S.Karpaga Jothi, A.Sathya
Sensor networks are deployed in numerous application domains, and the data which are collected used in decision making for critical infrastructures. Intermediate nodes are used in data streaming. Data provenance allows the Base Station (BS) to trace the source and forwarding path of an individual data packet. Provenance must be recorded for each packet, but important challenges arise due to the tight storage, energy and bandwidth constraints of sensor nodes. Hence, it is necessary to address security requirements such as confidentiality, integrity and freshness of provenance. Our goal is to identifying the provenance forgery and packet drop attacks in wireless sensor networks by designing a provenance encoding and decoding mechanism that satisfies such security and performance needs and to rectify them in by sending an email to trusted admin so that administrative user takes the control.
provenance, security, sensor networks.
M.Suchithra, T.Sowntharya, V.Priyanka
Web services are open standard (XML, SOAP, HTTP etc.) based Web applications that interact with other web applications for the purpose of exchanging data.In existing system, we need to store large amount of information about the users and it consumes more time for accessing the data.In this project, we explore the feasibility of incorporating perceived quality from user’s perspective for service selection and composition. We name such quality attributes as quality of experience (QoE). we implemented Web Service which is used to fetch the Data from different Web servers and display the data which has the most number of visitors.We get feedback from the user ,it increases the efficient of QoE. Quality of Experience is easy to access and fetch the information, so it reduces our fetching time. JSON (JavaScript Object Notation) is a lightweight format that is used for data interchanging. We use Json Parser for Web services responses. It converts the XML objects to Java notations.
Quality of Experience, Quality of Service, Service Composition, Web Services, Json Parser .
K.S.Saravanan, Dr.N.Rajendran
In this Research paper we illustrate Security operations of Routing Protocols in Wireless Ad Hoc Networks. Routing operation are provides the communication protocol for data transfers between wireless devices. Conventional routing protocols aim does not deal with security, and are based on a mutual trust relationship between wireless devices. Wireless ad hoc network are week to security attacks due to their unique characteristics since it is a challenging task for routing protocols. We examined present the details of important secure routing protocols such as SRP, SAR, ARAN, ARIADNE, CONFIDANT and SEAD.
Routing Protocols, Ad-hoc Networks, Security, attack
N.Jagadish Kumar, E.Abirami, S.Rajakumari
Nowadays the use of E-Commerce applications are getting increased.So the Website designers also provide a platform for the users to post their opinions in free text feedback comments .At the same time the sellers of the online products were also increasing their reputation by creating fake reviews.So the buyers are confused to buy the product with best quality.Inorder to overcome this issues,We need Sentiment Mining.So in this paper we have a list of survey on Sentiment Analysis.
natural language processing, machine learning, sentiment analysis, opinion mining, polarity shift, Data expansion
R.Sankareshwari, A.Shunmuga Sankari, G.R.Hema Lakshmi
Smartphone are changing the way of our life and have become a very important part of our day-to-day life. If the smart phone is missing or stolen at any situation mean their secret or personal information was moved to wrong hands. In existing system we can’t find the exact location of the mobile and picture of an unauthorized person. In our proposed system we use Mobile theft detection application for android based devices. Our application can send email when the pattern or PIN mobile locking system goes to wrong and if person tries to change the SIM card of the mobile, it checks for authorization. If a pattern or PIN locking system goes wrong by an authorized person then the pattern or PIN was send to the user via mail in the form of digits else it will show the picture and place of an unauthorized person with the help of GPS location. This makes easy for the user to identify their forgotten password and also we can found the thief who stolen the mobile phone.
Energy Camera Based Attacks, Spy camera, GPS ,Smartphones,Gmail,Global Mobile for Introduction
R.Pavithra, N.Sandhya, K.Balachander
Screen locking/unlocking is important for modern smart phones to avoid the unintentional operations and secure the personal stuff. Once the phone is locked, the user should take a specific action or provide some secret information to unlock the phone. The existing unlocking approaches can be categorized into four groups: motion, password, pattern, and fingerprint. Existing approaches do not support smart phones well due to the deficiency of security, high cost, and poor usability. We collect 200 users’ hand-waving actions with their smart phones and discover an appealing observation: the waving pattern of a person is kind of unique, stable and distinguishable. In this paper, we propose OpenSesame, which employs the users’ waving patterns for locking/unlocking. The key feature of our system lies in using four fine-grained and statistic features of hand-waving to verify users. Moreover, we utilize support vector machine (SVM) for accurate and fast classification. Our technique is robust compatible across different brands of smart phones, without the need of any specialized hardware. Results from comprehensive experiments show that the mean false positive rate of OpenSesame is around 15%, while the false negative rate is lower than 8%.
Smart phone, Security, privacy, authentication, accelerometer.
P.Kowsalyadevi, Dr.K.Thangadurai
Predictive data mining automatically create classification model from training dataset and apply such model to automatically predict other classes of unclassified datasets. Predictive data mining deals with learning models to support clinicians in diagnostics, therapeutic, or monitoring tasks. It learns from past experience and applies knowledge gained to future situations, by applying machines learning methods to build multivariate models from different kind of data and subsequently make inferences on unknown data. Machine learning model is related to the exploitation of supervised classification approaches. Prior to applying the learning model, the data is pre processed to remove noise and ensure data mining principle is applied on real data. In Machine Learning and Data Mining fields, classification is usually approached as a supervised learning task. A search algorithm is used to induce a classifier from a set of correctly classified data instances, called the training set. Another set of correctly classified data instances, known as the testing set, is used to measure the quality of the classifier obtained after the learning process. Different kinds of models can be used to represent classifiers, and there are a great variety of algorithms available for inducing classifiers from data. In this paper discussed about previous research related to prediction and classification algorithms used in our work.
Data mining, Predictive, Machine Learning, Classification Algorithms