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Optimal Stealth Attack Strategy Design for Linear Cyber-Physical Systems.

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    Researchers developed an optimal stealth attack strategy for linear cyber-physical systems (CPSs). This strategy ensures optimal performance and stealth using necessary and sufficient conditions, verified by simulations.

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    Area of Science:

    • Cyber-Physical Systems Security
    • Control Theory
    • Network Security

    Background:

    • Linear cyber-physical systems (CPSs) are vulnerable to stealth attacks.
    • Existing stealth attack strategies often rely on sufficient conditions, potentially limiting optimality.
    • Designing optimal stealth attacks that balance performance and stealth is a critical challenge.

    Purpose of the Study:

    • To design an optimal stealth attack strategy for linear CPSs.
    • To establish necessary and sufficient conditions for achieving optimal stealth attack performance.
    • To develop an offline algorithm for constructing the optimal stealth attack strategy.

    Main Methods:

    • Construction of virtual systems representing the attacker's target.
    • Design of a linear attack model with varying gains based on virtual models.
    • Establishment of necessary and sufficient conditions through the solvability of coupled recursive Riccati difference equations (RDEs).
    • Development of an offline algorithm to compute the optimal stealth attack strategy.

    Main Results:

    • Necessary and sufficient conditions for optimal stealth attack design were established.
    • An optimal stealth attack strategy was constructed under these conditions.
    • The effectiveness of the proposed strategy was validated through a simulation example.

    Conclusions:

    • The developed strategy provides a method for optimal stealth attack design in linear CPSs.
    • The use of necessary and sufficient conditions ensures both performance and stealth.
    • The simulation results confirm the practical applicability of the proposed technical scheme.