| A sequential supervised machine learning approach for cyber attack detection in a smart grid system YA Farrukh, Z Ahmad, I Khan, RM Elavarasan 2021 North American Power Symposium (NAPS), 1-6, 2021 | 32 | 2021 |
| Payload-byte: A tool for extracting and labeling packet capture files of modern network intrusion detection datasets YA Farrukh, I Khan, S Wali, D Bierbrauer, JA Pavlik, ND Bastian 2022 IEEE/ACM International Conference on Big Data Computing, Applications …, 2022 | 30 | 2022 |
| Senet-i: An approach for detecting network intrusions through serialized network traffic images YA Farrukh, S Wali, I Khan, ND Bastian Engineering Applications of Artificial Intelligence 126, 107169, 2023 | 8 | 2023 |
| Detecting unknown attacks in iot environments: An open set classifier for enhanced network intrusion detection YA Farrukh, S Wali, I Khan, ND Bastian MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 121-126, 2023 | 5 | 2023 |
| An autonomous self-incremental learning approach for detection of cyber attacks on unmanned aerial vehicles (UAVs) YA Farrukh, I Khan arXiv preprint arXiv:2112.11219, 2021 | 2 | 2021 |
| Radiant: Reactive Autoencoder Defense for Industrial Adversarial Network Threats I Khan, S Wali, YA Farrukh Available at SSRN 4572172, 0 | 1 | |
| Covert Penetrations: Analyzing and Defending SCADA Systems from Stealth and Hijacking Attacks S Wali, YA Farrukh, I Khan, JA Hamilton Authorea Preprints, 2024 | | 2024 |
| ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection I Khan, YA Farrukh, S Wali arXiv preprint arXiv:2310.09298, 2023 | | 2023 |
| Development of Open-Source, Edge Energy Management System for Tactical Power Networks S Wali, I Khan, YA Farrukh, MA Fasih, MHU Haq, M Kazmi 2022 IEEE/ACM International Conference on Big Data Computing, Applications …, 2022 | | 2022 |
| Ais-Nids: An Intelligent and Self-Sustaining Network Intrusion Detection System YA Farrukh, S Wali, I Khan, N Bastian Available at SSRN 4635437, 0 | | |
Irfan KhanAssistant Professor, Texas A&M University在 tamu.edu 的电子邮件经过验证
