| Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework S Hore, A Shah, ND Bastian Expert Systems with Applications 221, 119734, 2023 | 8 | 2023 |
| Towards optimal triage and mitigation of context-sensitive cyber vulnerabilities S Hore, F Moomtaheen, A Shah, X Ou IEEE Transactions on Dependable and Secure Computing 20 (2), 1270-1285, 2022 | 7 | 2022 |
| Deep packgen: A deep reinforcement learning framework for adversarial network packet generation S Hore, J Ghadermazi, D Paudel, A Shah, TK Das, ND Bastian arXiv preprint arXiv:2305.11039, 2023 | 6 | 2023 |
| Impact of barriers and enablers on effective lean implementation in Indian Steel industry S Hore doctoral dissertation, Indian School of Mines, Dhanbad, 2019 | 4 | 2019 |
| Empirical evaluation of autoencoder models for anomaly detection in packet-based nids S Hore, QH Nguyen, Y Xu, A Shah, ND Bastian, T Le 2023 IEEE Conference on Dependable and Secure Computing (DSC), 1-8, 2023 | 3 | 2023 |
| A sequential deep learning framework for a robust and resilient network intrusion detection system S Hore, J Ghadermazi, A Shah, ND Bastian Computers & Security, 103928, 2024 | 1 | 2024 |
| An artificial intelligence-enabled framework for optimizing the dynamic cyber vulnerability management process S Hore, A Shah, ND Bastian | 1 | 2022 |
| Adversarial Deep Reinforcement Learning Enabled Threat Analytics Framework for Constrained Spatio-Temporal Movement Intelligence Data J Ghadermazi, S Hore, D Sharma, A Shah 2021 IEEE International Conference on Intelligence and Security Informatics …, 2021 | 1 | 2021 |
| Deep ResNIDS: A Multistage AI Framework for Novelty Detection in Network Traffic S Hore, A Shah, ND Bastian, J Ghadermazi | | |
Nathaniel D. BastianUnited States Military Academy在 westpoint.edu 的电子邮件经过验证
