AI based Intrusion Detection for Autonomous Vehicles
Ulysses Lam, Jin-Hee Cho, Hyuk Lim, Terrence Moore, Frederica Free-Nelson, Hyunjae Kang and Dan Kim, Federated Learning-based Intrusion Detection System for Internet of Autonomous Vehicles against Poisoning Attacks, Submitted. 2025
Ulysses Lam, Jin-Hee Cho, Hyuk Lim, Terrence Moore, Frederica Free-Nelson and Dongseong Kim, A Survey of Intrusion Detection Systems for Autonomous Vehicles Current Solutions and Limitations, International Conference on Mobile Internet Security (MobiSec), Sapporo, Japan, December 17-19, 2024.
Lee J, Kim W, Cho JH, Kim DS, Moore TJ, Nelson FF, Lim H. Deep learning approach for attack detection in controller area networks. InArtificial Intelligence and Machine Learning for Multi-Domain Operations Applications III 2021 Apr 12 (Vol. 11746, pp. 195-200). SPIE.
Intrusion Detection and Response (IRS), Deep Reinforcement Learning, countermeasures (MTD) for Autonomous Vehicles
Zhang Q, Yoon HJ, Moore TJ, Yoon S, Kim DD, Lim H, Nelson F, Cho JH. Securing End-to-End Reinforcement Learning-Driven Autonomous Driving: A Control Command Utility-based Intrusion Response System. IEEE Transactions on Intelligent Vehicles. 2025 Aug 13.
Kim S, Yoon S, Cho JH, Kim DS, Moore TJ, Free-Nelson F, Lim H. DIVERGENCE: Deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework. IEEE Transactions on Network and Service Management. 2022 Jan 3;19(4):4834-46.
Yoon S, Cho JH, Kim DS, Moore TJ, Nelson F, Lim H. Poster: Address shuffling based moving target defense for in-vehicle software-defined networks. InThe 25th Annual International Conference on Mobile Computing and Networking 2019 Oct 11 (pp. 1-3).
Security and Safety Analysis of Autonomous Vehicles
Nguyen NH, Ge M, Cho JH, Moore TJ, Yoon S, Lim H, Nelson F, Bai G, Kim DD. Graphical security modelling for Autonomous Vehicles: A novel approach to threat analysis and defence evaluation. Computers & Security. 2025 Mar 1;150:104229.
Jungebloud T, Nguyen NH, Kim DD, Zimmermann A. Model-based structural and behavioural cybersecurity risk assessment in system designs. Computers & Security. 2025 Jun 11:104543.
Nguyen NH, Cho JH, Moore TJ, Yoon S, Lim H, Nelson F, Bai G, Kim DD. AuSSE: A Novel Framework for Security and Safety Evaluation for Autonomous Vehicles. In2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S) 2024 Jun 24 (pp. 1-5). IEEE.
Jungebloud T, H. Nguyen N, Seong Kim D, Zimmermann A. Hierarchical model-based cybersecurity risk assessment during system design. InIFIP International Conference on ICT Systems Security and Privacy Protection 2023 Jun 14 (pp. 30-44). Cham: Springer Nature Switzerland.
Cyber attacks to Autonomous Vehicles
Y. Lin, S. Park, H. Kang, H. K. Kim, D. Kim, Robustness Evaluation under RGB-Camera Attacks in CARLA: A Systematic Evaluation of Color Modes and Attack Types, AID, PRDC 2025