NITRSCT: A Software Security tool for collection and analysis of Kernel Calls. - Pushkar Kishore; Swadhin Kumar Barisal; Shikhar Vaish (TENCON, 2019)

An incremental malware detection model for meta-feature API and system call sequence. - Pushkar Kishore; Swadhin Kumar Barisal; Durga Prasad Mohapatra (FedCSIS, 2020)

ELM-MVD: An Extreme Learning Machine Trained Model for Malware Variants Detection. - Pushkar Kishore; Swadhin Kumar Barisal; Alle Giridhar Reddy; Durga Prasad Mohapatra (ICACDS, 2020)

JavaScript malware behaviour analysis and detection using sandbox assisted ensemble model. - Pushkar Kishore; Swadhin Kumar Barisal; Durga Prasad Mohapatra (TENCON, 2020)

Decentralized Controller for Software Interconnected System Subject to Malicious Attacks. - Pushkar Kishore; Swadhin Kumar Barisal; Durga Prasad Mohapatra (FedCSIS (Position Papers), 2021)

Particle Swarm Optimized Federated Learning For Securing IoT Devices. - Pushkar Kishore; Swadhin Kumar Barisal; Durga Prasad Mohapatra (GLOBECOM (Workshops), 2021)

Security Improvement and Privacy Preservation in E-Health. - Pushkar Kishore; Swadhin Kumar Barisal; Vinod Kumar Kulamala; Durga Prasad Mohapatra (ICC, 2021)

Family Classification of Malicious Applications using Hybrid Analysis and Computationally Economical Machine Learning Techniques. - Pushkar Kishore; Swadhin Kumar Barisal; Durga Prasad Mohapatra (WI/IAT, 2022)

An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection. - Pushkar Kishore; Swadhin Kumar Barisal; Durga Prasad Mohapatra; Rajib Mall (Comput. Secur., 2023)

Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy. - Bishwajit Prasad Gond; Rajneekant; Pushkar Kishore; Durga Prasad Mohapatra (CoRR, 2025)