Intrusion detection system based on ant colony memory principle

In this thesis, memory principle and ant colony algorithm are fused and applied in intrusion detection system. The method of controlling pheromone used in ant colony algorithm is applied to simulate the memory process of human brain, and the concept of pheromone is put forth. The processes of memorizing and forgetting are reasonably interpreted through the increase and decrease of pheromone, and in the algorithm, new memory algorithm is formed to finish the processes of memorizing and forgetting after considering the impact of abnormal characteristics weight value on pheromone. Examples show that the algorithm is capable of realizing memorizing and forgetting processes and increasing the robustness and self adaptability of IDS.