Two-stage data encryption using chaotic neural networks. - Gautam Srivastava 001; C. N. S. Vinoth Kumar; V. Kavitha 003; N. Parthiban; Revathi Venkataraman (J. Intell. Fuzzy Syst., 2020)

A Comprehensive Performance Analysis of Various Classifier Models for Coronary Artery Disease Prediction. - Baranidharan Balakrishnan; C. N. S. Vinoth Kumar (Int. J. Cogn. Informatics Nat. Intell., 2021)

A real time health care cyber attack detection using ensemble classifier. - Bharathi V; C. N. S. Vinoth Kumar (Comput. Electr. Eng., 2022)

AE-LEACH: An Incremental Clustering Approach for Reducing the Energy Consumption in WSN. - Vasim Babu M; C. N. S. Vinoth Kumar; S. Parthiban; U. Padmavathi; Md. Zia Ur Rahman 001 (Microprocess. Microsystems, 2022)

Advanced Persistent Threat Detection and Mitigation Using Machine Learning Model. - Sakthivelu U.; C. N. S. Vinoth Kumar (Intell. Autom. Soft Comput., 2023)

Defence Mechanism against Advanced Persistent Threat Attack Using Significant Features based Deep Learning Model. - Sakthivelu U.; C. N. S. Vinoth Kumar (J. Internet Serv. Inf. Secur., 2024)

Vulnerability Detection in Cyber-Physical System Using Machine Learning. - Bharathi V; C. N. S. Vinoth Kumar (Scalable Comput. Pract. Exp., 2024)

An Elixir for Blockchain Scalability with Channel based Clustered Sharding. - V. Vinoth Kumar; U. Padmavathi; C. Prasanna Ranjith; J. Balaji; C. N. S. Vinoth Kumar (Scalable Comput. Pract. Exp., 2024)

Deforestation rate estimation using crossbreed multilayer convolutional neural networks. - D. Abdus Subhahan; C. N. S. Vinoth Kumar (Multim. Tools Appl., 2024)