RIVEST-SHAMIR-ADLEMAN ALGORITHM OPTIMIZED TO PROTECT IOT DEVICES FROM SPECIFIC ATTACKS R. Rita Jenifer, V. Sinthu Prakash Informatics and Automation, 2024 IoT devices are crucial in this modern world in many ways, as they provide support for environmental sensing, automation, and responsible resource conservation. The immense presence of IoT devices in everyday life is inevitable in the smart world. The predominant usage of IoT devices lurks the prying eyes of intentional hackers. Though there are several precautionary security systems and protocols available for generic wireless networks, it is observed that there is a need to formulate a state-of-the-art security mechanism exclusively for IoT network environments. This work is submitted here for the betterment of IoT network security. Three dedicated contributions are integrated in this work to achieve higher security scores in IoT network environments. Fast Fuzzy Anomaly Detector, Legacy Naïve Bayes Attack Classifiers, and Variable Security Schemer of Rivest-Shamir-Adleman algorithm are the novel modules introduced in this work abbreviated as ASORI. Captivating the advantages of the onboard IoT certification mechanism and selecting a dynamic security strategy are the novelties introduced in this work. ASORI model is tested with industrial standard network simulator OPNET to ensure the improved security along with vital network performance parameter betterments.
Opinion based memory access algorithms using collaborative filtering in recommender systems Ms.Sangeetha J*, Dr.Sinthu Janita, and International Journal of Innovative Technology and Exploring Engineering, 2019 In recent years, the online shopping and the online advertisement businesses is growing in a vast way. The reason behind this growth is, the peoples are not having sufficient time for go for a shop. Without seeing the quality of the product directly, the people are ready to buy the product by seeing the other user recommendation of the particular product. This leads an interest / the need to develop the researcher an innovative recommendation framework. Based on the opinion prediction rule, the huge size of words and the phrases which are presented in the unstructured data is modified as a numerical values. The sale of the particular product in an online shopping is depends on its description of the quality, the review of the customer. Based on the positive and negative polarity, an Inclusive Similarity-based Clustering (ISC) is proposed to cluster the extracted related keywords from the user reviews. To evaluate the strength, weakness of the product, estimate the respective features, as well as the opinions, the Improved Feature Specific Collaborative Filtering (IFSCF) model for the feature with aspect opinion is proposed. Finally the complete feedback of the product is estimated by propose the Novel Product Feature-based Opinion Score Estimation process. The main challenge in this recommendation system is the fault information estimation of the reviews and the unrelated recommendations of the bestselling or the better quality product. To neglect these issues, an Enhanced Feature Specific Collaborative Filtering Model based on temporal (EFCFM) is proposed in the recommendation system. Hence the developed EFCFM method is investigated by comparing along with the existing methods in terms of subsequent parameters, precision, recall, f-measure, MAE and the RMSE. The outcome shows that the developed EFCFM approach predicts the best product and produce the accurate recommendation to the customers.
Optimization of rules for intrusion detection system (Org-ids) S. Latha*, Dr. V. Sinthu Janita Prakash, and International Journal of Recent Technology and Engineering, 2019 Computer Networks are prone to be attacked by a number of network attacks. To protect an individual system or the entire network from the malicious behaviour, a high level security system is needed. Intrusion detection system (IDS) is a system which give such protection to the network from the intrusions like misuse, unauthorised access etc. Even though many forms of new attacks come into practice, providing the security for the system from the known attack is also a challenging task. The solution is a Signature based IDS which is a potential tool to identify the known attack, sending alert and protect the networks. So a novel signature based IDS(ORG-IDS) with four phases such as Feature Selection, Classification, Optimized Rule generation and Pattern matching is proposed. For any efficient signature based IDS, it should have the signature rules in less number but it should be effective in identifying attacks with good time and memory complexity. In this paper, a new algorithm is proposed for Rule generation phase of proposed IDS to configure the rules by implementing Ant Colony Optimization Technique with Association Rule Mining . The parameters like number of rules, running time and memory utilization are measured and proved that this proposed algorithm outperforms the other existing algorithms.
Geographic multiattribute monarch butterfly optimization based traffic aware routing in VANET International Journal of Scientific and Technology Research, 2019
A content level based deduplication on streaming data using poisson process filter technique (PPFT) Mrs. A. Sahaya Jenitha, Dr. Janita pursed, and International Journal of Recent Technology and Engineering, 2019 This paper proposed on Poisson process-based algorithm is to carry out content-level deduplication for the streaming data. Since Poisson processes are meant to do the counting of different events happening over a period of time and space, it becomes appropriate to use it for identifying duplications of data as it gets streamed based on time and space, which can allow the deduplication process to be carried out in tandem. Some of the research on deduplication has been focusing on File-level and Block-level deduplication while the focus can be brought to content-level, as data get streamed lively and becomes more dynamic. With this approach, the content-level deduplication will allow the data to be scanned intelligently and at the same time, it can save the deduplication operation time. Also, streaming data has its randomness which is innately there and by having Poisson process based deduplication it will address the random behaviour of the data transfer and can work efficiently in the dynamically connected environment. The proposed method identifies the unique data to store in the Database. Based on the experimental result, the Poisson Process-based algorithm produce 0.912 Area Under Curve (AUC) accuracy on real-world streaming data, which means that if AUC is greater than 0.8 then the performance of algorithm is pretty good. So, the machine intelligence-based deduplication model produced reliable and robust deduplication on streaming data compared to existing approaches.
Enhanced feature specific collaborative filtering model for aspect opinion and temporal based product recommendation International Journal of Scientific and Technology Research, 2019
Movie review analysis and prediction using modified collaborative filtering and clustering with regression International Journal of Mechanical Engineering and Technology, 2019
An empirical study on text analytics in big data R. Merlin Packiam, V. Sinthu Janita Prakash 2015 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2015, 2016
Fairness and loss percentage analysis using QMBCCA in wireless environment IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
Analysis of Quality of Service Routing Algorithms E.George Dharma Prakash Raj, Sinthu Janita Prakash, S.V.Kasmir Raja Web Engineered Applications for Evolving Organizations Emerging Knowledge, 2011
RECENT SCHOLAR PUBLICATIONS
Deep Integrative Framework Towards Opinion Classification and Opinion Ranking of Online Product Review Using Fuzzy Logic Technique G Prathap, R Rathinasabapathy, C Sathish Kumar, VS Prakash Artificial Intelligence and Technology: Systems Management, Decisions and … , 2026 2026
Bacterium Colonies with Improved Opposition Based Learning for Medical Data Clustering VS Prakash, BN Shivakumar, B Vinoth, G Prathap, J Vennila, P Natarajan Artificial Intelligence and Technology: Systems Management, Decisions and … , 2026 2026
Unveiling the Ethics of Data Scraping Preservation: Balancing Access and Privacy VS Prakash, P Natarajan, V Vigneshwaran, PJ Shriidhar, BN Shivakumar, ... Artificial Intelligence and Technology: Systems Management, Decisions and … , 2026 2026
The implementation of Real-Time Internet of Things for Secure and Validated Asset Tracking: Blockchain-Based Supply Chain Communication VS Prakash, A Gowridurga, FA Al-Naimi, M Harshini, M Dinesh 2025 IEEE 7th International Conference on Computing, Communication and … , 2025 2025
GMCRR_DPNet: A Gradient Multi-Level Convolutional and Residual Attention with a Regularized Weight Decay-Based Dengue Outbreak Prediction Network P Vijayakumar, S Karuppusamy, P Natarajan, S Vanithamani, VS Prakash 2025 IEEE First International Conference on Innovations in Engineering and … , 2025 2025
Comparison Study of Convolutional Neural Network Variants for Emotional Classification P Vijayakumar, VS Prakash, S Karuppusamy, P Vishnu Raja, K Rathi 2025 Tenth International Conference on Science Technology Engineering and … , 2025 2025
Forecasting GDP and Unemployment Growth Rates in India: A Nonlinear Regression Growth Model Approach V Balakrishnan, R Karnaboopathy, L George, V Yuvaraj, K Vijayan, ... Data-Driven Decision Making for Sustainable Business Growth, 963-974 , 2025 2025
The Employment of Context-Awareness Intrusion Detection Systems using AI: Strengthen Cybersecurity in Smart Cities VS Prakash, H Awwad, S Sethu, C Balakrishnan, AKK Reddy, M Dinesh 2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT), 1-6 , 2025 2025
Evaluation of Compact Blockchain Protocols to Embedded Systems: Analyzing Control of Access and Safe Recording to Data from Medical Devices VS Prakash, NA Valli, VS Pandi, H Awwad, V Nitin, M Dinesh 2025 5th International Conference on Emerging Research in Electronics … , 2025 2025
Integrate Cybersecurity in Electric Vehicle Battery Frameworks: Mechanisms for Identifying and Responding to Intrusions on Smart Building Management System Networks VS Prakash, J Vennila, P Murugesan, N Karthikeyan, P Natarajan, ... 2025 International Conference on Electronics and Computing, Communication … , 2025 2025
Adaptive Fuzzy C-Means with logit boost distributed clustering for cancer detection with protein sequences K Thenmozhi, M Pyingkodi, VS Prakash, K Josten, S Manju Priya, ... Discover Applied Sciences 7 (8), 813 , 2025 2025
Blockchain-Driven AI Framework for Early Human Monkeypox Detection M Martinaa, R Bhavani, V Prakash, M Vasudevan, B Kishore, S Kumar Deep Learning and Blockchain Technology for Smart and Sustainable Cities … , 2025 2025
An Extensive Analysis of Blockchain Technology Addressing Many Facets of IOT, Smart Cities, and Deep Learning M Martinaa, R Bhavani, V Prakash Deep Learning and Blockchain Technology for Smart and Sustainable Cities, 43-60 , 2025 2025
An Efficient DDoS Attack Detection Scheme using Autoencoder based on Feature Selection Approaches V Vinothina, VS Prakash, K Revathi, CS Kumar, N Karthikeyen, G Prathap 2025 Third International Conference on Augmented Intelligence and … , 2025 2025 Citations: 1
On Quick Switching System with Different Sampling Plans using Fuzzy Neutrosophic Weighted Poisson Distribution J Vennila, P Basker, VS Prakash Neutrosophic Sets and Systems 79, 40-56 , 2025 2025 Citations: 2
Word Prediction Using Fuzzy Sets and Computational Intelligence D Rajalakshmi, G Revathy, V Prakash, R Bhavani Enhancing Communication and Decision-Making With AI, 267-294 , 2025 2025
Use of geolocation to improve security while protecting privacy BJ Buck, JM Wijdogen, K Lam, VS Prakash, MJ Mole, PD Phatak, ... US Patent 12,177,672 , 2024 2024 Citations: 1
Precision Agriculture: Harnessing the Synergy of IoT and Machine Learning for Enhanced Smart Farming Practice K Saraswathi, VS Prakash, B Alekhya, VS Pandi, I Poonguzhali 2024 1st International Conference on Sustainability and Technological … , 2024 2024 Citations: 2
Random Selection for Cloud-Based Load-Distributing in Varied P2P Networks using Enhanced Throttled Algorithm VS Prakash, BN Shivakumar, J Gnanadurai, KS Divya 2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024 2024
Optimizing lightweight cryptographic protocols for secure communication in internet of things (IoT) devices KS Divya, S Chakrabarti, VS Prakash, K Chitra 2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024 2024 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Use of geolocation to improve security while protecting privacy BJ Buck, JM Wijdogen, K Lam, VS Prakash, MJ Mole, PD Phatak, ... US Patent 11,523,282 , 2022 2022 Citations: 139
An improved bacterial colony optimization using opposition-based learning for data clustering VS Prakash, V Vinothina, K Kalaiselvi, K Velusamy Cluster Computing 25 (6), 4009-4025 , 2022 2022 Citations: 29
Supervised learning algorithms: A comparison PK Josephine, VS Prakash, KS Divya Kristu Jayanti Journal of Computational Sciences (KJCS), 01-12 , 2021 2021 Citations: 27
Communicating with client device to determine security risk in allowing access to data of a service provider R Zerrad, D Gopal, S Sachidananda, DY Lord, VS Prakash, CB Leach, ... US Patent 11,818,129 , 2023 2023 Citations: 26
A low-cost, low-power flexible single-lead ECG textile sensor for continuous monitoring of cardiac signals N Sriraam, A Srinivasulu, VS Prakash IEEE Sensors Journal 23 (17), 20189-20198 , 2023 2023 Citations: 26
Vision-based skin disease identification using deep learning R Bhavani, V Prakash, RV Kumaresh, RS Srinivasan Int. J. Eng. Adv. Technol 8 (6), 3784-3788 , 2019 2019 Citations: 26
Revolutionizing agriculture: artificial intelligence assisted plant leaf disease detection using deep learning principles VS Prakash, R Vanitha, SV Nikam, V Athappan, R Krishnamoorthy, ... 2024 10th International Conference on Communication and Signal Processing … , 2024 2024 Citations: 25
Monitoring security of a client device to provide continuous conditional server access R Zerrad, D Gopal, S Sachidananda, DY Lord, VS Prakash, CB Leach, ... US Patent 10,785,230 , 2020 2020 Citations: 22
Unleashing the potential of artificial intelligence and deep learning in pneumonia detection systems VS Prakash, V Aiyyasamy, D Shobana, R Jayadurga, VA Kandaswamy, ... 2023 9th International Conference on Smart Structures and Systems (ICSSS), 1-6 , 2023 2023 Citations: 19
Random forest regression with hyper parameter tuning for medical insurance premium prediction VS Prakash International Journal of Health Sciences 6 (6), 7093–7101 , 2022 2022 Citations: 12
Analytical comparison and implementation of different inverter topologies for three-phase on-line uninterruptible power supply K Chitra, VS Prakash International Journal of Ambient Energy 43 (1), 1103-1112 , 2022 2022 Citations: 11
Effect of integrated nutrient management modules on yield, quality and economics of wheat D Kumar, V Prakash, P Singh, A Ahamid, C Kumar, S Kumar Journal of Pharmacognosy and Phytochemistry 6 (6), 709-711 , 2017 2017 Citations: 10
Design And Implementation Of Simple Boost Pwm Controlled T-Source Inverter For Solar Pv Application KV 14. Chitra K, Prakash VS INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 8 (11), 717–720 , 2019 2019 Citations: 9
EB algorithm for effective privacy and security of data processing in MCC VS Prakash, N Bharathiraja, RD Nayagam, R Thiagarajan, ... 2022 International Conference on Electronic Systems and Intelligent … , 2022 2022 Citations: 8
An elliptic curve digital signature algorithm for securing the healthcare data using blockchain based IoT architecture VS Prakash, KS Keerthi, S Jagadish, A Alkhayyat, M Soni 2024 International Conference on Data Science and Network Security (ICDSNS), 1-5 , 2024 2024 Citations: 7
Road traffic accident prediction in India using machine learning algorithm techniques B Vinoth, VS Prakash, BN Shivakumar 2024 international conference on electronics, computing, communication and … , 2024 2024 Citations: 7
An adaptive deep belief feature learning model for cognitive emotion recognition S Yuvaraj, JV Franklin, VS Prakash, A Anandaraj 2022 8th International Conference on Advanced Computing and Communication … , 2022 2022 Citations: 7
Switched inductor Z-source inverter with modified space vector pulse width modulation for uninterruptible power supply K Chitra, VS Prakash, K Viji, K Nehru, M Lakshmanan International Review of Electrical Engineering 16 (4), 368-376 , 2021 2021 Citations: 7
Artificial Intelligence in Cybersecurity: Enhancing Automated Defense Mechanisms to Combat Sophisticated Cyber Threats and Guarantee Digital Resilience VS Prakash, P Murugesan, P Poongothai, S BN, P Vijayakumar, ... 2024 5th IEEE Global Conference for Advancement in Technology (GCAT), 1-6 , 2024 2024 Citations: 6
Enhancing Agriculture Productivity with IoT-Enabled Predictive Analytics and Machine Learning G Jasmine Beulah, V Vinothina, VS Prakash, M Sandhya, K Vignesh International Conference on Data Management, Analytics & Innovation, 67-82 , 2024 2024 Citations: 6
