Adaptive Artificial Bee Colony Algorithm for Nature-Inspired Cyber Defense

With the significant growth of cyber environment over recent years, defensive mechanisms against adversaries have become an important step in maintaining online safety. The adaptive defense mechanism is evolving approach that, when combined with nature-inspired algorithms, allows users to effectively run a series artificial intelligence-driven tests on their customized networks detect normal and under attack behavior nodes or machines attached network. This includes detailed analysis difference throughput, end-to-end delay, packet delivery ratio before after attack. In this paper, we compare fitness simulated are altered, aiding several security-based approaches achieving clear experimental results. simulation results show effectiveness differences through specially crafted metric value defined using network performance statistics actual throughput attacked node