Published in 2026
Dr .C.K.Gomathy, V.Geetha, T.Jayanthi, M.Bhargavi, P.Sai haritha
In these days cryptography is widely used in many areas to protect data from threat and by using wireless sensor networks can also make the data more protected and by these networks in which these provide replaying action against many issues ,also can access the data from anywhere to anywhere by these wireless sensor networks and it will protect the medical data from threat by storing the data in three servers in this by using some cryptographic algorithms and can protect the data from inside also from attacks not only from outside also. By this only the authorized people only can access the data but not the others so data will be safe from attacks.
Wireless medical sensor network, patient data privacy, Paillier encryption, and ElGamal encryption
Dr .C.K.Gomathy, V.Geetha, T.Jayanthi, P.Charan, P.U.Kirtthikaa
Online Social Networks have become a significant source to store personal information. A recent addition to this space, geo-social networks (GSNs) such as Yelp or Foursquare, collects user locations, through check-ins performed by users at visited venues. Overtly, personal information allows GSN providers to offer a variety of applications, including personalized recommendations and targeted advertising, and venue owners to promote their businessthrough spatio-temporal incentives. Without privacy people may be reluctant to use geo-social networks; without user information the provider unable to use applications and have no incentive to participate in geosocial networks. In this paper, here PROFILER, a framework for constructing location centric profiles (LCP), aggregates built over the profiles of users that have visited discrete locations (i.e., venues) and a set of co-located users is introduced. PROFIR endows users with strong privacy guarantees and providers with correctness assurances. In addition to a venue centric approach, in thisa proposeddecentralized solution for computing real time LCP snapshots over the profiles is implemented.
Geo Social networks, PROFILER, Location Centric Profile(LCP),Admin,Anonymizer.
Dr .C.K.Gomathy
In the increasing of technology into teaching is one of the vital significance challenges for education today. All department academicians will agree that the contemporary world is going through the modern education trends. Every person is engaged in various kinds of computer related activities and using various multimedia content on internet either by various techniques. Moreover the modern education using ICT generated by various services such as offline/online teaching - forum in teacher to student interactions, assignments, debate, audio and video seminar and etc is also increasing the volume of ict to the larger extent. However the ICT challenges but it can also be utilized as the opportunities by the computer techniques. Challenge in terms of difficulties in identifying the evidences from the technical problems behind in the features. This paper focuses on the use of technology in teaching-learning audio and video seminar process that will greatly contribute to the student needs for learning anywhere, anytime. It is time to move beyond the walls of classrooms to join forces with other institutions and societies to revitalize education trends. The Integration of Information and Communication Technologies (ICT) into teaching and learning process is a growing field which has variety of definitions according to different points of view.
Modern Education, Technological trends, Information and Communication Technologies, ICT integration, Enhancing learning, Virtual Learning Environment, Educational improvement.
V.Geetha, G.Vamsi, Dr.C.K.Gomathy, N.P.Ganesh, T.Jayanthi, G.Raheshwara Rao
Data prefetching in distributed file systems is a well-known optimization technique which can mask both network and disk latency and consequently boost I/O performance. Traditionally, data prefetching is initiated by the client file systems, however, conventional prefetching schemes are not well suited for client machines that have limited memory and computing capacity. To offer an efficient prefetching approach for resource-limited client machines, this paper proposes a novel server side prefetching mechanism. Specifically, we propose to piggyback client identification to I/O requests so that server side block access history can be put into context. On the server side, we utilize the horizontal visibility graph technique to transform per-client time series of block access sequences into a connected graph for which we employ Tarjan’s algorithm to disclose cut points in the connected graph. We express these patterns with feature tuples and we propose the X-step pattern matching algorithm to find a matching access pattern (i.e., a feature tuple) for a given block access history. Experimental results indicate that our newly proposed prefetching mechanism can ease client machines and their applications from the process of data prefetching, boosting Performance accordingly, and that it yields an attractive increase in data throughput as well.
Cloud Storage, Data Caching, High-Performance Computing, I/O Optimization, Distributed Systems
V.Geetha, Dr.C.K.Gomathy, T.Jayanthi, R. Jayashree, S. Indhumathi, E. Avinash
Interactive Data Exploration is a key ingredient of a diverse set of discovery-oriented application. Data discovery is a highly ad hoc interactive process where it is difficult to retrieve relevant data from large, unorganized pools. In this project, the diseases can be predicted based on the analysis from their symptoms and the report is generated from the systematic analysis of particular disease. Early detection and prevention of diseases plays a very important role in reducing the mortality rate caused by those diseases. It is a multilayered method which uses significant pattern mining using iterative search techniques to build a risk prediction system which predicts various disease. It is user friendly, time and cost saving. This research uses data mining technology such as classification and prediction to identify potential treatments for patients according to their diseases. The gathered data is preprocessed, fed into the database and classified to yield significant patterns using pattern mining algorithm. Finally a prediction system is developed to analyze risk levels which help in prognosis. This helps in detection of a person’s predisposition for any common diseases before going for clinical and lab tests which is cost and time consuming.
Data exploration, Data sampling, Mortality rate, Symptoms
T.Jayanthi, Y. Sri Vyshnavi, V.Geetha, N. R.Naga Pranitha, DR. C.K Gomathy, N. V. G. S. Sarath Chandra
There is a necessity to design a secured electronic voting system using multimodal biometrics. In recent years, information technology has greatly affected all aspects of life, and to a largeextent, this includes politics.In order to elect people to various positions different methods have been set up, with researchers continually trying tofind improvement to the existing methods. The most recent method tobe developed is electronic voting (e-voting). It is meant to phase out outdated paper ballot, punched cards andother mechanical voting systems with paperless electronicor online voting systems. E-voting systems endeavour to make elections simple while reducing the total cost of theelection. Designing an air-tight and reliable e-voting system is therefore a great task, in that, the system that must bedeveloped must protect the privacy of the voter, be easily understood and used by the entire voting populace - no matterwho they are or where they come from. A multimodal biometric system (fingerprint and facial recognition) was used inthis paper to improve the security of an E-voting system
Electronic voting systems, Electoral system, Fingerprint
V.R.Ramesh, N.Suresh
An Unattended Wireless Sensor Network is a type of sensor network where a trusted sink visits each node periodically to collect the data. Due to offline nature of this network, every node has to secure the sensed data until next visit of the sink i.e. until data is being sent to the sink. The goal of an attacker is to prevent targeted data from ever reaching the sink or to send corrupted data to the sink. So, in a UWSN data confidentiality and data authenticity are required. Besides have to take care of survivability of sensed data. In this paper we have presented a scheme that provides authenticity, confidentiality and survivability of sensed data in efficient manner.
Unattended Wireless Sensor Network, Trust Management System Attacks
Lamanguluka N.Henock, P. Jyotheeswari
In this digital world, many applications like mobile devices, organization’s ERPs, sensors, social networks, generate enormous amount of data. The data is so huge that conversional systems are not sufficient to process them efficiently. Hence, so many faced challenges in processing and extracting useful information from it. Thus, great interest is shown in the development of big data analytic models to cater for both real-time and off-line data processing. Therefore, in this paper an Efficient Analytic Model for Processing Real-time data has been proposed. The model comprises of three main units, i.e. Data acquisition unit; data processing unit; and data analysis and decision unit. For proposed model elaboration, a detailed analysis on real-time Social Sensor data for emotions detection is performed, using Apache Spark. Additionally, algorithms are proposed for detecting Negative, Positive and Neutral emotions in tweet-texts and locating on the map where people are tweeting from.
Big Data analytic, Data processing, Real-time, Data acquisition, visualization, Decision Making
S.Sakthivel, S.Menaka, A.SriChamundeswari
The sensor nodes near to the fixed sink node suffer from the quickly tired energy. For this, many existing methods have been researched to distribute the energy consumption into all wireless sensor nodes using a rechargeable mobile sink. Since the mobile sink changes its location in the network constantly, it has limited time to communicate with the sensor nodes and needs the time to move to each sensor node. Therefore, before the mobile sink approaches the sensor node, the node can collect huge data by event occurrence. It causes the memory overflow of the sensor node and then the data loss. The proposed network is sectioned into a set of sub networks, each of which is called a cluster. In each cluster, one node represents the others and is called the Cluster Head (CH). The objective of the tour building step is to minimize the traveling cost, and therefore it is exactly the anchor point selection algorithm based TSP problem. The proposed algorithm anchor point selection based on a crucial step of the data gathering process since it determines the efficiency of energy transferring and the latency of data gathering. A significant scheme is to simply visit all the sensor nodes, collect data through single-hop transmission and use the mobile sink to forward data back to the static sink through long range communications.
Energy Harvesting WSN, Cluster Head, Mobile Sink, Sensor Node.
M. Satheesh Kumar, M.R. Arun Kumar, S. Amal Leo, S.Giridharan
The paper is coming up with enriched “real-time active tracking of public transports, provision of valuable data about traffic and intelligent ticket accessing portal with real time location status of buses as well as individuals. Products or any software services which are already exists are providing these technical solution to customer in an unaffordable accessing methods and technology which are being used there are need to be upgraded to current cutting edge technology such cloud computing etc.., Implementation of solution in updated environment such as Internet Of Thing architecture stack which includes following major layers such as sensor i.e., hardware, cloud, analysis and finally presentation would be an effective solution to solve real time issues faced under existing product and services.
Internet of Things (IoT), Intelligent Transport System (ITS), Control Node (CN).
V.Balu, M.Saraswathi
In this paper, developed a system as a search engine for find the temple sculpture details. Using this system we can upload an image of missing sculpture, the system will provide the entire sculpture details like name of the sculpture, temple name, state and city of the temple. Once the image is uploaded into the database the comparison of the images is done with three parameters size, color and pixel. First the size of the images are compared, then the color of the images are compared if there's a match with all parameters only then the relevant image is extracted from the database or else it is shown to the user the sculpture is not found in the database.
Search engine, Temple sculpture, database
A.Raja
Ad hoc wireless network has been a most active research area for its flexibility in network construction. In ad hoc networks, contention-based MAC protocols, such as IEEE 802.11, are popular since they are easy to implement. However, these contention-based MAC protocols do not coordinate between nodes at different hops within a multi-hop flow. It has been pointed out that the 802.11 MAC cannot discover the optimum schedule of multi-hop transmissions. Distributed priority scheduling, a technique that piggybacks the priority tag of a node’s head-of-line packet onto handshake and data packets; e.g., RTS/DATA packets in IEEE 802.11. By monitoring transmitted packets, each node maintains a scheduling table which is used to assess the node’s priority level relative to other nodes. It incorporates this scheduling table into existing IEEE 802.11 priority back-off schemes to approximate the idealized schedule. In this paper we discussed medium access control and distributed priority scheduling concepts.
Distributed Priority scheduling, Ad hoc network, Medium Access Control, contention based MAC Protocol