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Learning-based minimum cost strategies for set reachability of Boolean control networks under data injection attacks.

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Summary

This study addresses false data injection attacks (FDIAs) in Boolean control networks, establishing conditions for guaranteed set reachability under probabilistic constraints. Methods include a novel system construction and a double deep Q network for efficient attack sequence discovery.

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Boolean control networksFalse data injection attacksReinforcement learningSet reachability

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Area of Science:

  • Control Systems Engineering
  • Network Security
  • Computational Biology

Background:

  • Boolean control networks are crucial for modeling complex systems.
  • False data injection attacks (FDIAs) pose significant threats to network security and reliability.
  • Understanding attack vulnerabilities in set reachability is essential for robust system design.

Purpose of the Study:

  • To investigate FDIAs with failure probabilities in Boolean control networks.
  • To establish conditions for guaranteed set reachability under various attack and control scenarios.
  • To develop efficient methods for finding optimal data injection sequences (DISs).

Main Methods:

  • Derivation of necessary and sufficient conditions for set reachability under probabilistic FDIAs.
  • Construction of a novel system for analyzing specific control input sequences (CISs).
  • Development of an algorithm for minimum time DIS and a double deep Q network for large-scale networks.

Main Results:

  • Established conditions for set reachability with probability one or above a given bound.
  • Proposed a method to find minimum time DIS for specific CISs.
  • Introduced a model-free approach using double deep Q network for cost-efficient DIS discovery in large networks.

Conclusions:

  • The proposed methodologies effectively address FDIAs in Boolean control networks.
  • The developed algorithms and methods are practical and efficient, demonstrated by biological examples.
  • This research contributes to enhancing the security and reliability of control systems against sophisticated attacks.