DoS攻击检测中的自适应序贯检测算法

Adaptive Sequential Detection Algorithm in DoS Attacks Detection

文章给出了一种新型的DoS攻击检测方法及其具体应用。利用自适应序贯算法统计分析接收到的各个网络协议层数据,查找其中微小变化,实现攻击的早期检测。方法具有计算量小,自学习能力强,适用于不同网络等优点,具有一定的实用价值。

This paper presents a novel approach to detect DoS attacks. We develop an efficient adaptive sequential algorithm for an early detection of a DoS attack. The method employs statistical analysis of data from multiple layers of the network protocol for these kinds of attacks. The method is self-learning and computationally simple. It can be used in various network conditions to improve the detection accuracy.