An Adaptive Cuckoo Search-Based Optimization Model for Addressing Cyber-Physical Security Problems

One of the key challenges in cyber-physical systems (CPS) is dynamic fitting data sources under multivariate or mixture distribution models to determine abnormalities. Equations have been statistically characterized as nonlinear and non-Gaussian ones, where high variations between normal suspicious distributions. To address equations these distributions, a cuckoo search algorithm employed. In this paper, effectively improved with novel strategy, known convergence speed accelerate direction optimal solution for achieving better outcomes small number iterations when solving equations. The proposed named an (ICSA), which accelerates by improving fitness values function evaluations compared existing algorithms. assess efficacy ICSA, 34 common that fit nature cybersecurity are adopted show if ICSA can reach not. has several well-known, well-established optimization algorithms, such slime mould optimizer, salp swarm, search, marine predators, bat, flower pollination Experimental revealed superior other terms final accuracy, makes promising alternative algorithm.