Vinod D.

D. Vinod has around 18 years of experience in teaching and research in various Institutes under the department of Computer Science and Engineering. Completed his Ph.D. in the Domain of Information Security in the year 2018, with highly commendable reviews at Sathyabama Institute of Science and Technology. Completed his Masters of Engineering, in the department of Computer Science and Engineering at GKM Engineering College, Anna University in 2009. Completed the Bachelor of Technology in Information Technology in Adhiyamaan Engineering College, Anna University. He is currently acting as Scientific Advisor in Ja-Assure Singapore. He has published around 3 Science indexed and 30 Scopus Indexed Journals and more than 25 International Conference presentations across prestigious Universities of India and other Countries. Has an h-index of 3, Reviewer for 6 Scopus indexed journals, and 3 Science indexed journal. Presently working as Assistant Professor in Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, TN, India

Publications

Investigation of Machine Learning Approaches on Security Analysis of Cryptographic Algorithms
Investigation of Machine Learning Approaches on Security Analysis of Cryptographic Algorithms
Suresh Anand M., Anitha K., Devipriya A., Manikandan N., Vinod D.. © 2024. 20 pages.
The distributed denial of service (DDoS) assault was a kind of intrusion in the cloud computing environment that severely affects the end user by injecting illegitimate packets....
Unlocking Biologica Insights: Harnessing Machine Learning for Analysis in Complex Biological Data
Unlocking Biologica Insights: Harnessing Machine Learning for Analysis in Complex Biological Data
P. Nancy, G. Padmapriya, M. Suresh Anand, D. Vinod, R. Anto Arockia Rosaline. © 2024. 18 pages.
Recently, researchers in the field of bioinformatics have demonstrated a significant amount of interest in the use of computational methods for the purpose of forecasting...
An Empirical Study and Analysis of Artificial Intelligence, Machine Learning, and Big Data for Crypto Healthcare Industries
An Empirical Study and Analysis of Artificial Intelligence, Machine Learning, and Big Data for Crypto Healthcare Industries
Devipriya Ananthavadivel, R. Anto Arockia Rosaline, D. Vinod, K. Anitha, P. Nancy. © 2024. 19 pages.
In the contemporary era, cryptocurrencies have emerged as a vital digital asset class. This abstract provides a succinct overview of a chapter dedicated to the empirical...