A Taxonomy of Security Issues in Industrial Internet-of-Things: Scoping Review for Existing Solutions, Future Implications, and Research Challenges. - PLS Jayalaxmi; Rahul Saha; Gulshan Kumar; Neeraj Kumar 001; Tai-Hoon Kim (IEEE Access, 2021)

SID-RIS: Cascaded Intrusion Detection System for Industrial Internet of Things. - PLS Jayalaxmi; Rahul Saha; Lalit Garg; Gulshan Kumar (WAI, 2022)

Machine and Deep Learning Solutions for Intrusion Detection and Prevention in IoTs: A Survey. - PLS Jayalaxmi; Rahul Saha; Gulshan Kumar; Mauro Conti; Tai-Hoon Kim (IEEE Access, 2022)

DeBot: A deep learning-based model for bot detection in industrial internet-of-things. - PLS Jayalaxmi; Gulshan Kumar; Rahul Saha; Mauro Conti; Tai-Hoon Kim; Reji Thomas (Comput. Electr. Eng., 2022)

Machine and deep learning amalgamation for feature extraction in Industrial Internet-of-Things. - PLS Jayalaxmi; Rahul Saha; Gulshan Kumar; Tai-Hoon Kim (Comput. Electr. Eng., 2022)

PIGNUS: A Deep Learning model for IDS in industrial internet-of-things. - PLS Jayalaxmi; Rahul Saha; Gulshan Kumar; Mamoun Alazab; Mauro Conti; Xiaochun Cheng (Comput. Secur., 2023)

MADESANT: malware detection and severity analysis in industrial environments. - PLS Jayalaxmi; Manali Chakraborty; Rahul Saha; Gulshan Kumar; Mauro Conti (Clust. Comput., 2024)