Dr. Brij Gupta

Principal Investigator
Google Scholar
Email
bbgupta.nitkkrobfuscate@gmail.com

B. B. Gupta received the Ph.D. degree in information and cyber security from IIT Roorkee, India. He has published more than 150 research articles (including four books and 20 book chapters) in international journals and conferences of high repute, including the IEEE, Elsevier, ACM, Springer, and Inderscience. He is currently an Assistant Professor with the Department of Computer Engineering, National Institute of Technology, Kurukshetra (NIT Kurukshetra), India. His research interests include information security, cyber security, mobile/smartphone, cloud computing, web security, intrusion detection, computer networks, and phishing. He is also a member of ACM, SIGCOMM, SDIWC, the Internet Society, the Institute of Nanotechnology and a Life Member of the International Association of Engineers (IAENG) and the International Association of Computer Science and Information Technology (IACSIT). His biography was selected and published in Who’s Who in the World (Marquis, 30th Edition, 2012). He has been selected to receive the 2017 Albert Nelson Marquis Lifetime Achievement Award and the 2017 Bharat Vikas Award from the Marquis Who’s Who in the World, USA and ISR, and India, respectively. He also received the Sir Visvesvaraya Young Faculty Research Fellowship Award, in 2017, from the Ministry of Electronics and Information Technology, Government of India. He also received the 2018 Best Faculty Award for Research Activities, the 2018 Best Faculty Award for Project and Laboratory Development from NIT Kurukshetra, and the 2018 Rula International Award for Best Researcher. He has been serving as an Associate Editor for the IEEE Transactions on Industrial Informatics and IEEE Access and an Executive Editor for IJITCA (Inderscience). He is also leading the International Journal of Cloud Applications and Computing (IJCAC) (IGI Global, USA) as the Editor-in-Chief. He has been serving as a Reviewer for the journals of the IEEE, Springer, Wiley, Taylor & Francis, and so on.

Papers

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

Clustering based Rewarding Algorithm to Detect Adversaries in Federated Machine Learning based IoT Environment 2021

Differential Privacy Approach to Solve Gradient Leakage Attack in a Federated Machine Learning Environment