摘要
提出了一种基于BP神经网络的病毒检测方法,该方法成功地把BP神经网络的理论引入计算机病毒的检测中。该方法比传统的病毒检测技术更有效地对系统信息和文件系统进行语法分析,快速地诊断出被感染病毒以及病毒类型。
In this paper, a new method of computer virus detection on back-propagation neural networks is put forward. This method success in inducting back-propagation neural networks into the ways of computer virus detecting . In comparing with the traditional methods, this new detection is more effective in analyzing system information and file system, and can diagnose which kind of computer virus are infected .
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第2期152-153,156,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60064002)