摘要
每年全球因计算机网络的安全系统被破坏而造成的经济损失达数百亿美元,近年来出现的分布式拒绝服务攻击(DDoS)更是使网络安全状况令人担忧.
This paper presents a new method of DDoS Intrude Detection Based on Self-Similarity of Network Traffics based on analysis of parameter of self-similar, which includes Hurst parameter, Holder parameter (Time variable function H(t)), we do research on the affect of H parameter change brought by DDoS attack. And we discover the DDoS attack can be detected in some extent by measure the change of H parameter, as it showed by the research result this network traffic based method can detected DDoS attack and is more reliable on the recognition of all kinds of DDoS attack than any other method based on character recognition.
出处
《计算机科学》
CSCD
北大核心
2003年第12期54-58,共5页
Computer Science
基金
国家九七三(项目号973-1-4-2)
电子科技大学青年基金
