Novikov, OleksiiIlin, MykolaStopochkina, IrynaDuduladenko, Volodymyr2026-02-252026-02-252025Stealthy cyberattacks on control systems using an adaptive soft-constrained optimization method / Oleksii Novikov, Mykola Ilin, IrynaStopochkina, Volodymyr Duduladenko // Theoretical and Applied Cybersecurity: scientific journal. – 2025. – Vol. 7, No. 1. – P. 104-110. – Bibliogr.: 17 ref.https://ela.kpi.ua/handle/123456789/79037This paper presents a novel approach for designing stealthy cyberattacks on automated control systems of critical infrastructure. The core idea lies in employing an adaptive soft-constrained optimization method, which simultaneously maximizes the impact functional of the attacker while keeping the attacked trajectory within the invisibility range of a standard fault detection mechanism. The proposed approach is based on a variational problem formulation, the construction of adjoint equations, and a gradient-based procedure with dynamic penalty parameter updates. Numerical simulation is conducted on a second-order test dynamic system. The results demonstrate the algorithm's effectiveness and convergence, as well as the feasibility of generating a controlled attack that successfully bypasses WLS-based detection methods. The method can be used to test the resilience of industrial systems to cyber threats through security scenario modelingencyberattackscritical infrastructurestealthy attacksautomated control systemsoptimization methodsStealthy cyberattacks on control systems using an adaptive soft-constrained optimization methodArticleP. 104-110https://doi.org/10.20535/tacs.2664-29132025.1.333440004.056.55:623.746.9:681.3.060000-0001-5988-33520000-0002-1065-65000000-0002-0346-03900009-0005-7826-7148