| EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques A Kumar, TJ Lim IEEE World Forum on Internet of Things, 2019 | 170 | 2019 |
| Hacker types, motivations and strategies: A comprehensive framework S Chng, HY Lu, A Kumar, D Yau Computers in Human Behavior Reports 5, 100167, 2022 | 112 | 2022 |
| Early Detection Of Mirai-Like IoT Bots In Large-Scale Networks Through Sub-Sampled Packet Traffic Analysis A Kumar, TJ Lim Future of Information and Communication Conference (FICC) 2019 70, 847-867, 2019 | 73 | 2019 |
| Machine learning-based early detection of IoT botnets using network-edge traffic A Kumar, M Shridhar, S Swaminathan, TJ Lim Computers & Security 117, 102693, 2022 | 70 | 2022 |
| A Secure Contained Testbed For Analyzing IoT Botnets A Kumar, TJ Lim 13th EAI International Conference on Testbeds and Research Infrastructures …, 2018 | 18 | 2018 |
| RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation A Kumar, VLL Thing 2023 20th Annual International Conference on Privacy, Security and Trust …, 2023 | 17 | 2023 |
| GLRT based Spectrum Sensing for MIMO SC-FDMA Cognitive Radio Systems in the Presence of Synchronization Impairments A Kumar, S Dwivedi, AK Jagannatham IEEE Wireless Communications Letters 5 (3), 280-283, 2016 | 11 | 2016 |
| GLRT based spectrum sensing for MIMO SC-FDMA cognitive radio networks A Kumar, S Dwivedi, AK Jagannatham IEEE Wireless Communications Letters 4 (6), 593-596, 2015 | 3 | 2015 |
| Evaluating The Explainability of State-of-the-Art Machine Learning-based Online Network Intrusion Detection Systems A Kumar, VLL Thing arXiv e-prints, arXiv: 2408.14040, 2024 | 2 | 2024 |
| ML-based Early Detection of IoT Botnets A Kumar, M Sridhar, S Swaminathan, TJ Lim International Conference on Security and Privacy in Communication Networks …, 2020 | 2 | 2020 |
| Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection A Kumar, VLL Thing IEEE International Telecommunication Networks And Applications Conference …, 2023 | 1 | 2023 |
| ExpIDS: A Drift-Adaptable Network Intrusion Detection System with Improved Explainability A Kumar, KW Fok, VLL Thing 2024 34th International Telecommunication Networks and Applications …, 2024 | | 2024 |
| A Public Key Infrastructure for 5G Service-Based Architecture A Kumar, VLL Thing arXiv preprint arXiv:2309.14659, 2023 | | 2023 |
| A Testbed To Study Adversarial Cyber-Attack Strategies in Enterprise Networks A Kumar, DK Yau arXiv preprint arXiv:2307.02794, 2021 | | 2021 |
| EARLY DETECTION OF INTERNET-OF-THINGS BOTNETS A Kumar National University of Singapore, 2020 | | 2020 |
| Joint Resource Allocation for OFDMA based Overlay Cognitive Radio Networks under Stochastic Rate Constraint A Kumar arXiv, 2016 | | 2016 |
Teng Joon LimUniversity of Sydneysydney.edu.au의 이메일 확인됨