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2026 Journal Article Securing end-to-end reinforcement learning-driven autonomous driving: a control command utility-based intrusion response systemZhang, Qisheng, Yoon, Han Jun, Moore, Terrence J., Yoon, Seunghyun, Kim, Dan Dongseong, Lim, Hyuk, Nelson, Frederica and Cho, Jin-Hee (2026). Securing end-to-end reinforcement learning-driven autonomous driving: a control command utility-based intrusion response system. IEEE Transactions on Intelligent Vehicles, PP (99), 122-132. doi: 10.1109/TIV.2025.3598768 |
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2025 Journal Article MTD-AD: moving target defense as adversarial defenseHe, Ke, Kim, Dan Dongseong and Asghar, Muhammad Rizwan (2025). MTD-AD: moving target defense as adversarial defense. IEEE Transactions on Dependable and Secure Computing, 22 (5), 5047-5059. doi: 10.1109/tdsc.2025.3560246 |
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2023 Journal Article Adversarial machine learning for network intrusion detection systems: a comprehensive surveyHe, Ke, Kim, Dan Dongseong and Asghar, Muhammad Rizwan (2023). Adversarial machine learning for network intrusion detection systems: a comprehensive survey. IEEE Communications Surveys and Tutorials, 25 (1), 538-566. doi: 10.1109/comst.2022.3233793 |
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2022 Journal Article A survey on cyber situation awareness systems: framework, techniques, and insightsAlavizadeh, Hooman, Jang-Jaccard, Julian, Enoch, Simon Yusuf, Al-Sahaf, Harith, Welch, Ian, Camtepe, Seyit A. and Kim, Dan Dongseong (2022). A survey on cyber situation awareness systems: framework, techniques, and insights. ACM Computing Surveys, 55 (5) 107, 1-37. doi: 10.1145/3530809 |
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2022 Journal Article Proactive defense for internet-of-things: moving target defense with cyberdeceptionGe, Mengmeng, Cho, Jin-Hee, Kim, Dongseong, DIxit, Gaurav and Chen, Ing-Ray (2022). Proactive defense for internet-of-things: moving target defense with cyberdeception. ACM Transactions on Internet Technology, 22 (1) 24, 1-31. doi: 10.1145/3467021 |
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2020 Journal Article Toward proactive, adaptive defense: A survey on moving target defenseCho, Jin-Hee, Sharma, Dilli P., Alavizadeh, Hooman, Yoon, Seunghyun, Ben-Asher, Noam, Moore, Terrence J., Kim, Dong Seong, Lim, Hyuk and Nelson, Frederica F. (2020). Toward proactive, adaptive defense: A survey on moving target defense. IEEE Communications Surveys and Tutorials, 22 (1) 8949517, 709-745. doi: 10.1109/comst.2019.2963791 |
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2026 Journal Article Feedback-driven fuzzing for COTS robots via packet semantic interpretationYu, Jihyeon, Kim, Jinha, Jung, Wooseong, Kim, Dan Dongseong and Yun, Joobeom (2026). Feedback-driven fuzzing for COTS robots via packet semantic interpretation. IEEE Transactions on Dependable and Secure Computing, 1-17. doi: 10.1109/tdsc.2026.3722502 |
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2026 Conference Publication SHIELD: Secure Human-machine Interaction with Evidential Learning and Dynamic trust for drone swarm controlWasif, Dawood, Moore, Terrence J., Yoon, Seunghyun, Lim, Hyuk, Kim, Dan Dongseong, Nelson, Frederica F. and Cho, Jin-Hee (2026). SHIELD: Secure Human-machine Interaction with Evidential Learning and Dynamic trust for drone swarm control. 4th USENIX Symposium on Vehicle Security and Privacy, Baltimore, MD, USA, 10-11 Aug 2026. Baltimore, MD, USA: USENIX Association. |
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2026 Conference Publication RAIL: risk-aware human-in-the-loop framework with adaptive intrusion response for autonomous vehiclesWasif, Dawood, Moore, Terrence J., Yoon, Seunghyun, Lim, Hyuk, Kim, Dan Dongseong, Nelson, Frederica F. and Cho, Jin-Hee (2026). RAIL: risk-aware human-in-the-loop framework with adaptive intrusion response for autonomous vehicles. 4th USENIX Symposium on Vehicle Security and Privacy (VehicleSec 26), Baltimore, MD United States, 10-11 August 2026. |
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2026 Journal Article A hybrid ensemble framework for unknown attack detection in IoT networksWang, Chiao-Hsi Joshua, Kang, Hyunjae, Lam, Ulysses, Seo, Jung Taek and Kim, Dan Dongseong (2026). A hybrid ensemble framework for unknown attack detection in IoT networks. Future Generation Computer Systems, 181 108447, 1-16. doi: 10.1016/j.future.2026.108447 |
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2026 Journal Article MTD in depth: Multi-phased moving target defense techniques against cyber-attacks based on cyber kill chainKim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moghaddam, Tina, Moore, Terrence J., Nelson, Frederica F. and Kim, Dan Dongseong (2026). MTD in depth: Multi-phased moving target defense techniques against cyber-attacks based on cyber kill chain. Future Generation Computer Systems, 181 108419, 1-14. doi: 10.1016/j.future.2026.108419 |
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2026 Journal Article Spatially robust and visually stealthy physical adversarial attacks on object detection systemsWang, Zhaochen, Kim, Gang Min, Kang, Hyunjae, Kang Kim, Huy and Kim, Dan Dongseong (2026). Spatially robust and visually stealthy physical adversarial attacks on object detection systems. Applied Soft Computing, 203 116029, 116029-116029. doi: 10.1016/j.asoc.2026.116029 |
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2026 Journal Article Continual learning for adaptive IoT network intrusion detection via domain-incremental learning methodsDelgado, Oliver, Kang, Hyunjae, Lam, Ulysses, Seo, Jung Taek and Kim, Dan Dongseong (2026). Continual learning for adaptive IoT network intrusion detection via domain-incremental learning methods. Applied Soft Computing, 203 116022, 116022-116022. doi: 10.1016/j.asoc.2026.116022 |
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2026 Conference Publication Lightweight Preprocessing Defenses for Robust Deepfake Detection Against Adversarial PerturbationsZhang, Aoran, Jeong, Seonghoon, Kang, Hyunjae and Kim, Dan Dongseong (2026). Lightweight Preprocessing Defenses for Robust Deepfake Detection Against Adversarial Perturbations. New York, NY, USA: ACM. doi: 10.1145/3803629.3803673 |
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2026 Conference Publication Towards Improving the Robustness of Deepfake Audio Detection With Denoising MethodsWang, Juncheng and Kim, Dan Dongseong (2026). Towards Improving the Robustness of Deepfake Audio Detection With Denoising Methods. New York, NY, USA: ACM. doi: 10.1145/3803629.3803671 |
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2026 Conference Publication A Black-Box Inversion Attack on Small Language Models and Differential Privacy-Based DefenseWang, Xingyun, Jeong, Seonghoon, Kang, Hyunjae and Kim, Dan Dongseong (2026). A Black-Box Inversion Attack on Small Language Models and Differential Privacy-Based Defense. New York, NY, USA: ACM. doi: 10.1145/3803628.3807971 |
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2026 Journal Article An integrated cyber offence–defence framework for unmanned ground vehiclesNguyen, Nhung H., Kang, Hyunjae, Moghaddam, Tina, Ahn, Myung Kil and Kim, Dan Dongseong (2026). An integrated cyber offence–defence framework for unmanned ground vehicles. Computers & Security, 169 104976, 104976. doi: 10.1016/j.cose.2026.104976 |
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2026 Journal Article Systematic evaluation of few-shot learning for unseen IoT network attack detectionRevell, Liam, Kang, Hyunjae, Seo, Jung Taek and Kim, Dan Dongseong (2026). Systematic evaluation of few-shot learning for unseen IoT network attack detection. Cmes-Computer Modeling in Engineering & Sciences, 147 (1) 45. doi: 10.32604/cmes.2026.078467 |
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2026 Journal Article Protecting federated learning from malicious attacks using consensus techniqueKim, Woocheol, Park, Jaehyoung, Cho, Jin-Hee, Kim, Dong Seong, Moore, Terrence J., Nelson, Frederica F., Yoon, Seunghyun and Lim, Hyuk (2026). Protecting federated learning from malicious attacks using consensus technique. Applied Soft Computing, 187 114299, 1-12. doi: 10.1016/j.asoc.2025.114299 |
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2026 Journal Article Robust federated learning for intrusion detection in autonomous vehicles against poisoning attacksLam, Ulysses, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence, Free-Nelson, Frederica, Kang, Hyunjae and Kim, Dan Dongseong (2026). Robust federated learning for intrusion detection in autonomous vehicles against poisoning attacks. CMES - Computer Modeling in Engineering and Sciences, 147 (3) 54, 1-10. doi: 10.32604/cmes.2026.084062 |
