Published in 2016
S.Ahamed Ali, Dr.M.Ramakrishnan
The concept of secret sharing has been used in the cloud environment to secure the key used for encryption and decryption. The keys are divided into shares and stored in different cloud storage nodes to prevent from unauthorized access. The “n” shares of the key can be regenerated to decrypt data stored in the cloud. The proposed system extends the concept of secret sharing by using our new one way collision resistant hash function which is based on random polynomial. This scheme makes our proposed system to secure against conspiracy attack even if the pseudo shares are compromised. Our proposed system analysis shows that it has better time and space complexity when compared to other secret sharing schemes.
Secret sharing, Hash function, Random polynomial, Cloud, Conspiracy attack
S.Prabhu, R.Kalaivani
A novel Web Access Pattern Mining Algorithm, FOL-Mine is proposed in this chapter. The FOL-Mine algorithm generates access patterns by suffix building in the projected data base of each frequent event and eliminates the need for construction of pattern tree. A data structure, First Occurrence List (FOL), is introduced for efficient handling of suffix building. Rebuilding of projection databases is completely eliminated in the new method. Experimental analysis of the proposed algorithm reveals significant performance gain over other web access pattern mining algorithms.
First Occurrence List Mine, web access pattern, Web Access Database
K. Syed Mohamed Bukari
Big Data is the term used to identify the datasets that are large in size and complexity. Big Data are now swiftly expanding in domains. Big Data includes e-mail messages, snaps, business deals, surveillance video recordings, posts of social Medias, mobile phone GPS signals and RFID readers, microphones, cameras, sensors and activity logs. That’s why, the data that exceeds the processing capacity of conventional database systems. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity. The Big Data is a challenge of the most exciting opportunities for the next era. Any Big Data is for decision making. This study paper includes the information about Introduction about Big Data, Challenges in Big Data, Tools and Techniques to handle Big Data, and its Applications.
Big Data, Challenges, Datasets, Heterogeneous, Hadoop, MapReduce, HDFS, Pig, HBase, Hive, Avro, Oozie, Chukwa, ZooKeeper
K.Sivachandran, M.Suguna, D.Nithyapriya, R.Deepan
In the advanced growth of Internet, sharing a medical data securely to the required network has never been easier task. The proposed Data Management system, aimed at preventing the modification of data in Hospitals. With the rapid growth of Internet and networks technique, multimedia data transforming and sharing is common to many people. Multimedia data is easily copied and modified. This paper proposed a blind watermarking algorithm for embedding and transferring a medical data securely over the required network. This work insisted with a “Text Watermarking” embedded into YCBCR (Y- luma component, CB –blue difference, CR- red difference) color channels of each medical video frame using Discrete Wavelet Transform and Principle Component Analysis. This paper also details the way in which the watermark includes the electronic records of the patient arrived into the hospital with three different sizes and around 146 characters will be embedded into medical video frame. It is in general that high capacity watermarking scheme mostly preferred in telemedicine application. In this project work, privacy and security problem is attended and the problem can be rectified by the way of embedding a data into a specific video. The proposed scheme is imperceptibility, robust, secure and it has good performance compared with previous data management systems.
Medical data sharing, Data communication, Blind watermarking, Text watermarking, Discrete wavelet transform, Principle Component Analysis
P.Thilagavathi, P.Jeevananthan, T.Lakshmanakumar
Home Automation using cloud network is a system that uses computers or mobile devices to control basic home functions and features automatically through internet from anywhere around the world, an automated home is sometimes called a smart home. This network uses a consolidation of a mobile phone application and PC based program to provide the means of user interface to the consumer. The home automation system differs from other system by allowing the user to operate the system from anywhere around the world through internet connection. In this paper we have developed a Home Automation system that employs the integration of multi-touch mobile devices, cloud networking, wireless communication, and power-line communication to provide the user with remote control of various lights and appliances within their home. This system uses a consolidation of a mobile phone application, handheld wireless remote, and PC based program to provide a means of user interface to the consumer. The home automation system differs from other systems by allowing the user to operate the system without the dependency of a mobile carrier or Internet connection via the in-home wireless remote. This system is designed to be low cost and expandable allowing a variety of devices to be controlled.
cloud networking, android, multi-touch mobile devices.
B.SindhuPiriyaa, Dr.D.Maruthanayagam
MaxWeight scheduling has gained enormous popularity as a powerful paradigm for achieving queue stability and maximum throughput in a wide variety of network system. The delay analysis of throughput optimal (queue length based) scheduling policies in such systems is extremely difficult due to complex correlations arising between the arrival, service and the queue length process. This paper explain about maximum weight scheduling algorithm achieves order optimal delay for wireless ad hoc networks with single-hop traffic flows if the number of activated links in one typical schedule has the same order with the number of links in the network. And also explain the weight function calculation, upper and lower bound then the estimation of delay for achieves order optimal delay for wireless ad hoc networks.
Wireless adhoc networks, Maxweight scheduling Policy, Maximum Weighted Matching, lower bound and upper bound.
Dr I. Lakshmi
This paper bargains for the new and genuine methodologies clinched alongside e-learning in. It seems that the time of complex publicizing Taking in administration framework (LMS) will be over and the possibility clients e- learners like new surroundings for their Taking in exercises. Interactivity Also correspondence devices need aid viewed as those essential purpose how with settle on those distinct e-study a greater amount open and clients inviting. Offering Taking in experience, outer investigation materials Furthermore contemplate issues facilitates the study methods Furthermore may be making a difference will wrist bindings the anxiety in the Taking in about dejected scholar.
Social networks, independent study, Learning Management Systems, learning and teaching processes, e-learning environment.