The Research of Computer Virus Detection Based on Evolutionary Sem-supervised Fuzzy Clustering Algorithm
Yu Cai · Computing Technology and Automation · 2008
Existing virus detection techniques can hardly detect unknow computer virus.Austere situation of virus,needs a new method to detect unknow computer virus that can self-learning ability and can active category.in this paper,analyzed the existing virus zdetection techniques,studied the Application of Evolutionary Sem-Supervised Fuzzy Clustering Algorithm in computer virus detection,explored its key technologies,on this basis,make a model of the computer virus detecion,then usied computer simulation tests to verify.