An Intrusion Detection Model Based on Ant Principle

In this thesis, modification is made to ant colony algorithm to meet the need of memorizing, the accumulation and volatilization processes of pheromone in ant colony algorithm are applied to simulate the memorizing and forgetting processes of human brain, when the instant weight value of abnormal characteristic code at the time of t+1 is higher than the instant weight value at the time of t, it means that this abnormal characteristic code needs emphasis and memory has to be deepened, at this time, the accumulation of memorian is applied to realize the process of memorizing, otherwise to realize the process of forgetting. Combing the two to avail of the advantages of both and make the memory description process more reasonable and scientific, the memorizing of abnormal characteristic code is done by controlling the increase and volatilization of memorian so that memory principle can be better applied in the intrusion detection system.