IDS using Hybrid Ant Colony-Genetic Algorithm (GAAPI) for Attack Classification and Detection

In recent fast growing internet world network security is become an essential need. Latterly one of the most popular research topics in network security is Intrusion Detection Systems (IDSs) which try to keep safe our network from intruders. This paper describes an IDS using Hybrid Ant Colony Genetic algorithm (GAAPI). It is hybridization of a special class of ACO called API and a RealCoded Genetic Algorithm (RCGA). To use characteristics of both algorithms to solve unconstrained problems. The proposed system is evaluated by KDD cup dataset. It is therefore the goal of this paper to provide a comprehensive overview of the application of GAAPI to solve complex global continuous problems. Proposed GAAPI is to detect and classify attacks of KDD dataset. Aim is to minimize the time and classify attacks with global optimal solution.