Research of Intrusion Detection Based on Fuzzy Clustering and the Quantum Genetic Theory
Xiaoming Liu · Journal of Kaifeng University · 2011
Adaptive problems have become increasingly prominent with the development of intrusion detection technologies.This paper presents a new adaptive detection algorithm——Quantum Genetic Fuzzy Clustering algorithm(QGFC).Under the unsupervised conditions,this algorithm uses quantum genetic theory to classify data sets automatically by means of fuzzy clustering.Hence,self-identification of invasions is achieved.The simulation results show that the proposed algorithm can effectively detect the intrusions.