Stealthy cyberattacks on control systems using an adaptive soft-constrained optimization method
Вантажиться...
Дата
2025
Автори
Novikov, Oleksii
Ilin, Mykola
Stopochkina, Iryna
Duduladenko, Volodymyr
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
Igor Sikorsky Kyiv Polytechnic Institute
Анотація
This 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 modeling
Опис
Ключові слова
cyberattacks, critical infrastructure, stealthy attacks, automated control systems, optimization methods
Бібліографічний опис
Stealthy 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.