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Attack Detection for Multisensor Cyber-Physical Systems With Unknown-But-Bounded Noises: A Zonotopic Approach
IEEE Transactions on Cybernetics
|April 1, 2025
Summary
This study introduces a novel zonotopic approach for attack detection in multisensor cyber-physical systems. The method effectively identifies attacks from insecure sensors, even with unknown noise, enhancing system security.
Area of Science:
- Cyber-Physical Systems
- Control Theory
- Signal Processing
Background:
- Multisensor cyber-physical systems (CPS) are vulnerable to sensor attacks and unknown noise.
- Existing detection methods may not adequately address systems with both secure and insecure sensors.
- Robust attack detection is crucial for the reliable operation of CPS.
Purpose of the Study:
- To develop an effective attack detection method for multisensor CPS with mixed sensor security and unknown-bounded noise.
- To enhance the performance of attack detection compared to existing state set-based approaches.
- To introduce a watermarking technique for detecting subtle attacks within measurement noise bounds.
Main Methods:
- A zonotopic approach is employed for state estimation and attack detection.
- A security state set is constructed by intersecting predicted and secure measurement state sets.
- Attack detection is performed by checking the emptiness of the intersection between the security state set and insecure measurement state set.
- A watermarking-based detection method is proposed, utilizing randomly selected watermarks within a constrained zonotope.
Main Results:
- The proposed method successfully detects attacks from insecure sensors in multisensor CPS.
- A sufficient condition is derived, proving the enhanced detection performance over predicted state set-based methods.
- The watermarking technique improves detection of attacks with amplitudes within the measurement noise zonotope.
- Numerical simulations validate the theoretical findings and demonstrate the method's effectiveness.
Conclusions:
- The zonotopic approach provides a robust framework for attack detection in complex CPS environments.
- The proposed security state set construction and watermarking technique offer improved detection capabilities.
- The findings contribute to the enhanced security and reliability of multisensor cyber-physical systems.
