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Intrusion detection system based on ant colony memory principle

机译:基于蚁群记忆原理的入侵检测系统

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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.
机译:本文将存储原理和蚁群算法融合并应用于入侵检测系统。运用蚁群算法中控制信息素的方法模拟人脑的记忆过程,提出了信息素的概念。通过信息素的增加和减少来合理地解释记忆和遗忘的过程,在算法中,考虑到异常特征权重值对信息素的影响,形成了新的存储算法来完成记忆和遗忘的过程。实例表明,该算法能够实现记忆和遗忘过程,提高了入侵检测系统的鲁棒性和自适应性。

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