Unknown Computer Virus Detection Based on Multi-naive Bayes Algorithm
Boyun Zhang · Jisuanji gongcheng · 2006
A multi-naive Bayes algorithm to detect computer virus approximately is presented in this paper. It can overcome the shortage of normal virus scanner, which could not detect unknown virus. Based on this method, a virus detect network model is also designed. This model is fit for detecting virus in the on-line system; it could detect known and unknown computer virus by analyzing the program’s behavior.