Research of Intrusion Detection based on Concept Lattices and Artificial Immune
Kai Zhao · Jisuanji fangzhen · 2012
This paper studied the application of Intrusion Detection based on Concept Lattices and Artificial Immune.An intrusion detection model was given based on concept lattice and artificial immune.This approach solved the problems of losing information due to reduced dimensions,lower detection accuracy and high rate of undetected.First,attribute reduction of concept lattice was used to reduce the dimensions of network connection data,in order to reduce the complexity of establishing rules detector.Second,intrusion detector was established based on concept lattice and dynamic update of the detector,which can detect most of the network attacks.Third,the artificial immune detector was established based on concept lattice as an auxiliary detector,which can detect the network attacks undetected by the rules detector and solve the problem of high missing rate in using single detection means.Dynamic mutation enhanced self-adaptation of intrusion detector.Experiments show that the detection rate of network attacks is significantly increased.The method provides a safety service for computer systems.