%0 Journal Article
%T One virus detection model based on probability training<br>一种基于概率训练的病毒检测模型*
%A CHEN Dan-wei
%A LIU Jie
%A SUN Guo-zi
%A HAN Junb
%A <br>陈丹伟
%A 刘杰
%A 孙国梓
%A 韩俊b
%J 计算机应用研究
%D 2010
%I 
%X Characteristic code anti-virus system can no longer meet current computer virus detection demand and will be replaced by the behavior detection method. With a brief analysis of virus abnormal behavior and an application of the state transition method to the virus behavior detection, this paper proposed the probability training based virus detection model. Implemented the virus judgment algorithm with a concrete virus probability training procedure of both single and continuous abnormal behavior, and a training procedure of virus probability threshold. The probability training based virus detection model proves to be effective with reliable case analysis and detection result verification.
%K virus
%K detection model
%K formalize
%K probability training<br>病毒
%K 检测模型
%K 形式化
%K 概率训练
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3F2BFF8125898B2862DD4DD9678A389E&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=52F119C047AB1C71&eid=CD86F4EEA1B1928E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=6