摘要
计算机病毒严重地危害了计算机世界的安全,如何有效地利用已知病毒的特征对未知病毒进行检测是一个非常重要的研究课题。对基于贝叶斯分类理论的未知病毒检测算法给予了系统设计和实现。实验结果表明,这种新的算法对未知病毒具有较高的分辨率。
Computer virus has seriously compromised the security of the computer world ,and with the development of computer science,various computer viruses come out.Current virus scanner do not generalize well to detect unknown viruses .The paper promotes an unknown virus detection technology based on bayes method and explores the extraction of features and machine learning .The paper also gives an unknown virus detection framework and the evaluations and results.
出处
《湖南理工学院学报（自然科学版）》
CAS
2006年第2期65-68,共4页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金
国家自然科学基金资助项目(60272051)
