期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：7B
页码：196-201
出版社：International Journal of Computer Science and Network Security
摘要：Worm viruses nowadays tend not only to simply attack a host and destroy it but generate high volumes of traffic and cause network failure. This paper proposes a learning-based system for detecting abnormal traffic with a control function for individual hosts included in it for efficient protection against worm viruses and network security on a network level. The system searches, detects and learns abnormal traffic on a network level to prevent factors causing network bottleneck from affecting in advance. This paper also presents a network security management system using the ARP Spoofing attack method to efficiently control the hosts within the network.
