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An integral sliding mode observer for CPS cyber security attack detection.

Mi Lv1, Wenwu Yu1, Yuezu Lv2

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This study introduces an integral sliding mode observer for detecting cyber attacks in cooperative adaptive cruise control (CACC) systems. The novel observer ensures finite-time observation, enhancing the security of intelligent transportation systems.

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Area of Science:

  • Cyber-physical Systems (CPS)
  • Intelligent Transportation Systems
  • Control Theory

Background:

  • Cooperative Adaptive Cruise Control (CACC) systems integrate computing, communication, and control for enhanced traffic efficiency and safety.
  • CACC systems rely on wireless networks for vehicle-to-vehicle communication, creating vulnerabilities to cyber attacks.
  • Detecting these malicious attacks is crucial for maintaining the integrity and safety of CACC operations.

Purpose of the Study:

  • To design and evaluate an integral sliding mode observer for detecting cyber attacks in CACC systems.
  • To achieve finite-time observation for improved attack detection performance.
  • To address the singular phenomenon issue present in traditional terminal sliding mode observers.

Main Methods:

  • Design of an integral sliding mode observer tailored for CACC systems.
  • Utilizing principles of sliding mode control for robust observation.
  • Analysis of the observer's finite-time convergence properties.

Main Results:

  • The proposed integral sliding mode observer effectively monitors malicious attacks in CACC systems.
  • Finite-time observation is achieved, outperforming traditional methods.
  • The observer avoids the singular phenomenon associated with terminal sliding mode control.

Conclusions:

  • The integral sliding mode observer offers a robust and efficient solution for cyber attack detection in CACC.
  • This approach enhances the security and reliability of intelligent vehicle networks.
  • The finite-time observation capability represents a significant advancement in observer design for cyber-physical systems.