Adversarial Deep Reinforcement Learning Enabled Threat Analytics Framework for Constrained Spatio-Temporal Movement Intelligence Data. - Jalal Ghadermazi; Soumyadeep Hore; Dinesh Sharma; Ankit Shah 002 (ISI, 2021)

Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS. - Soumyadeep Hore; Quoc H. Nguyen; Yulun Xu; Ankit Shah 002; Nathaniel D. Bastian; Trung Q. Le (DSC, 2023)

Towards Optimal Triage and Mitigation of Context-Sensitive Cyber Vulnerabilities. - Soumyadeep Hore; Fariha Moomtaheen; Ankit Shah 002; Xinming Ou (IEEE Trans. Dependable Secur. Comput., 2023)

Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework. - Soumyadeep Hore; Ankit Shah 002; Nathaniel D. Bastian (Expert Syst. Appl., 2023)

A sequential deep learning framework for a robust and resilient network intrusion detection system. - Soumyadeep Hore; Jalal Ghadermazi; Ankit Shah 002; Nathaniel D. Bastian (Comput. Secur., 2024)

GPOD: An Efficient and Secure Graphical Password Authentication System by Fast Object Detection. - Palash Ray; Debasis Giri; Weizhi Meng 001; Soumyadeep Hore (Multim. Tools Appl., 2024)

FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System. - Quoc H. Nguyen; Soumyadeep Hore; Ankit Shah 002; Trung Q. Le; Nathaniel D. Bastian (Digit. Threat. Res. Pract., 2025)

GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection. - Jalal Ghadermazi; Soumyadeep Hore; Ankit Shah 002; Nathaniel D. Bastian (IEEE Trans. Inf. Forensics Secur., 2025)

Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation. - Soumyadeep Hore; Jalal Ghadermazi; Diwas Paudel; Ankit Shah 002; Tapas K. Das; Nathaniel D. Bastian (ACM Trans. Priv. Secur., 2025)