[1]朱俚治. 一种基于BP神经网络的智能检测病毒方法[J].计算机技术与发展,2014,24(10):163-166.
　ZHU Li-zhi. An Intelligent Virus Detection Method Based on BP Neural Network[J].,2014,24(10):163-166.
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 一种基于BP神经网络的智能检测病毒方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年10期
页码:
163-166
栏目:
安全与防范
出版日期:
2014-10-10

文章信息/Info

Title:
 An Intelligent Virus Detection Method Based on BP Neural Network
文章编号:
1673-629X（2014）10-0163-04
作者:
 朱俚治
 南京航空航天大学 信息中心
Author(s):
 ZHU Li-zhi
关键词:
 ; 病毒; BP神经网络; 沙箱
Keywords:
 ; virus; BP neural network; sandbox
分类号:
TP301
文献标志码:
A
摘要:
 病毒技术历经半个世纪的发展，如今已不是单纯的病毒技术，而是融合了其他黑客等技术，因此当今病毒的危害性和传播速度远远超过了病毒原始形态。病毒的传染性以及病毒的变种技术在病毒上的应用使得病毒呈现一定的智能性。因此，为了应对病毒的变种技术以及病毒其他方面所呈现出的智能性，文中参考已有的检测病毒方法之后，提出了一种具有智能性的检测病毒的方法。文中使用沙箱作为检测病毒的运行环境，并使用BP神经网络作为检测病毒的工具，然后给出了一种具有一定智能性的病毒检测方法。该方法能够对被怀疑的非法变化的程序中是否存在病毒做出判断。
Abstract:
 After several decades of development,the virus technology today is not merely the simple virus technology,but having com-bined with other technologies such as hacking and so on. So the hazard and transmission speed of virus today is over the original virus. The contagiousness of the virus and virus variant technology applied in virus has made them show certain intelligence. In order to deal with the intelligence viruses present,put forward an intelligent virus detection method after referring to existing methods. While using the sandbox as the operating environment of virus detection,also use the BP neural network as the tools. Afterwards,a new method of virus detection is given,which will be able to help to detect whether the suspected program exists viruses.

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更新日期/Last Update: 2015-04-03