Основные понятия
Secure consensus in multi-agent systems under FDI attacks is achieved through passivity-based attack detection and switching controllers.
Аннотация
The paper addresses output consensus in linear passive multi-agent systems under FDI attacks. It proposes a passivity-based approach for detecting attacks and a switching controller for defense mode. The event-triggered observer feedback ensures system stability. Simulation examples support theoretical findings.
I. Introduction
- Cyber-Physical Systems (CPS) face FDI attacks on actuation signals and sensor measurements.
- Event-triggered cryptographic authentication enhances security with limited resources.
II. System Modeling and Problem Description
- Agents interact over a network susceptible to malicious FDI attacks.
III. Event Condition and Zeno Behavior
- An event condition ensures observer stability without Zeno behavior.
IV. Attack Detection, Mitigation, and Closed-Loop System Stability
- Passivity-based attack detection relies on verifying passivity inequality.
- Switching controllers mitigate attacks for achieving practical output consensus.
V. Simulation Example
A. Passive Agents with Real Poles
- Passivity lost during attack detected by the controller switching to defense mode.
B. Passive Agents with Complex Poles
- Oscillations affect attack estimation performance of the system.
C. Passive Agents with Imaginary Poles
- Higher event density due to oscillating nature of output affects system performance.
VI. Conclusions
- Proposed method achieves secure consensus by detecting and mitigating attacks effectively.
Статистика
Passive agents are characterized by positive real transfer functions ensuring passivity lemma holds true.