| Living-off-the-land command detection using active learning T Ongun, JW Stokes, JB Or, K Tian, F Tajaddodianfar, J Neil, C Seifert, ... Proceedings of the 24th International Symposium on Research in Attacks …, 2021 | 22 | 2021 |
| On designing machine learning models for malicious network traffic classification T Ongun, T Sakharaov, S Boboila, A Oprea, T Eliassi-Rad arXiv preprint arXiv:1907.04846, 2019 | 20 | 2019 |
| The house that knows you: User authentication based on iot data T Ongun, A Oprea, C Nita-Rotaru, M Christodorescu, N Salajegheh Proceedings of the 2018 ACM SIGSAC conference on computer and communications …, 2018 | 16 | 2018 |
| PORTFILER: port-level network profiling for self-propagating malware detection T Ongun, O Spohngellert, B Miller, S Boboila, A Oprea, T Eliassi-Rad, ... 2021 IEEE Conference on Communications and Network Security (CNS), 182-190, 2021 | 7 | 2021 |
| Celest: federated learning for globally coordinated threat detection T Ongun, S Boboila, A Oprea, T Eliassi-Rad, J Hiser, J Davidson arXiv preprint arXiv:2205.11459, 2022 | 5 | 2022 |
| Resilient Machine Learning Methods for Cyber-Attack Detection T Ongun Northeastern University, 2023 | 3 | 2023 |
| Collaborative information sharing for ml-based threat detection T Ongun, S Boboila, A Oprea, T Eliassi-Rad, A Nottingham, J Hiser, ... arXiv preprint arXiv:2104.11636, 2021 | 2 | 2021 |
| Command classification using active learning JW Stokes III, JB Or, C Seifert, T Ongun, F Tajaddodianfar US Patent App. 17/491,438, 2023 | | 2023 |
