PESITM -PES Insititute of Technology & Management

Faculty Details

Email :hodds@pestrust.edu.in

Educational Qualification :
B.E, M Tech, Ph.D
Academic Experience :
20 Years

Email :hodds@pestrust.edu.in

Educational Qualification :
B.E, M Tech, Ph.D
Academic Experience :
20 Years

Abhijit Das, Pramod, and Sunitha B S, “Anomaly-based Network Intrusion Detection using Ensemble Machine Learning Approach” International Journal of Advanced Computer Science and Applications (IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130275
Abhijit Das, Pramod, and Sunitha B S, “An Efficient Feature Selection Approach for Intrusion Detection System using Decision Tree” International Journal of Advanced Computer Science and Applications (IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130276
Abhijit Das, Pramod and Sunitha B S, “Deep Reinforcement Learning based Ensemble Model for Intrusion Detection System” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022.
Abhijit Das, Pramod, and Sunitha B S, “A Deep Learning Approach to Enhance Network Intrusion Detection Capabilities for Cyber Security” International Journal of Advanced Computer Science and Applications (IJACSA), 13(5), 2022.
Abhijit Das, Pramod, and Sunitha B S, “Design and Development of an Efficient Network Intrusion Detection System Using Ensemble Machine Learning Techniques for Wifi Environments” International Journal of Advanced Computer Science and Applications (IJACSA), 13(5), 2022.

Published in the Official Journal of the Patent office, India, Application No. 202141011019A published in Patent Office Journal No. 12/2021 Dated 19.03.2021
Published in the Official Journal of the Patent office, India Application No.202241052879 published in Patent Office of Journal no 09/2022 Dated: 23/09/2022 A USING MACHINE LEARNING IN AN INDUSTRIAL CONTROL NETWORK TO IMPROVE CYBERSECURITY OPERATIONS
Authored a Textbook Titled “Programming in Python” .(ISBN: 978-81-954079-4-1)