RobResilience: サイバーフィジカル身体性システムのためのレジリエンスフレームワークの実装と評価
RobResilience: Implementing and Evaluating a Resilience Framework for Cyber-Physical Embodied Systems
WebotsとROS2を用いたPR2ロボットで、攻撃時の許容可能な劣化や緩和策の実行可否を実行時に判定するレジリエンスフレームワークを実装し、8つの攻撃シナリオで理論との整合性を検証した。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Gysella Imrell, Emanuele Miotto, Mahya Mohammadi Kashani, Mauro Conti, Alberto Giaretta
分類: cs.CR, cs.RO, eess.SY
原文アブストラクト
In embodied cyber-physical systems, active cyberattacks pose an immediate threat not just to data, but to physical integrity and human safety. While existing security approaches excel at detection, they lack the runtime mechanisms to determine whether a disruption is tolerable or if performance degradation remains within safe operational bounds. This gap leaves autonomous systems vulnerable to graceful failure paralysis, where they cannot distinguish between a safe, degraded state and a catastrophic hazard during an ongoing attack. This paper presents RobResilience, an implementation of a formal resilience framework for embodied cyber-physical systems in a Webots simulation environment, using a PR2 robot and ROS2. The framework evaluates three predicates at runtime: tolerable disruption ($δ$), tolerable degradation ($γ$), and mitigation feasibility ($μ$), over a compromised device set derived from IDS confidence scores. When resilience is lost, the framework triggers available mitigation strategies. We evaluate our implementation through eight attack scenarios that systematically cover all possible combinations of the predicate state space, varying attack targets, degradation rates, and mitigation availability. Results confirm that the runtime behaviour of the implementation is consistent with the theoretical definitions.