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一种基于BP神经网络与蚁群算法的病毒检测
引用本文:朱俚治. 一种基于BP神经网络与蚁群算法的病毒检测[J]. 电脑编程技巧与维护, 2014, 0(18): 95-97
作者姓名:朱俚治
作者单位:南京航空航天大学信息中心,南京,210016
摘    要:由于病毒技术在不断地更新之中,如今的部分病毒具有自我变形的能力。在面对具有自我变形能力的病毒时,传统的病毒检测方法容易产生漏警和虚警。为了增强杀毒软件对病毒的感知力,使得杀毒软件具有一定的智能性十分必要。

关 键 词:BP神经网络  病毒  蚁群算法  变形病毒

Based on the BP Neural Network and Ant Colony Algorithm Virus Detection
ZHU Li-zhi. Based on the BP Neural Network and Ant Colony Algorithm Virus Detection[J]. Computer Programming Skills & Maintenance, 2014, 0(18): 95-97
Authors:ZHU Li-zhi
Affiliation:ZHU Li-zhi (Nanjing University of Aeronautics and Astronautics, Information Center, Nanjing 210016, China)
Abstract:because of the virus technology in constantly update, now part of the virus has the ability of self deformation. In the face of self deformation ability of the virus, virus detection methods of traditional prone to leakage alarm and false alarm. In order to enhance anti-virus software on the perception of the virus, make it necessary to antivirus software has certain intelligence.
Keywords:BP neural network  Viruses  ant colony algorithm  polymorphic viruses
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