Application Layer Anomaly Detection Based on HSMM

Xie Bailin, Yu Shunzheng, Wang Tao
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引用次数: 2

Abstract

Today more and more network-based attacks occur at application layer. Observed from the network layer and transport layer, these attacks may not contain significant malicious activities, and generate abnormal network traffic. However, traditional security techniques usually detect attacks from those two layers. Although some security techniques can detect some application layer attacks, these techniques can only detect some known attacks, and these techniques can’t detect the unknown or novel attacks happened on application layer. In theory, application layer anomaly detection can detect the unknown and novel attacks happened on application layer, so the research of application layer anomaly detection is very important. This paper presents a new application layer anomaly detection method which based on HSMM. The experimental results show that this method has high detection accuracy and low false positive ratio.
基于HSMM的应用层异常检测
目前,越来越多的基于网络的攻击发生在应用层。从网络层和传输层来看,这些攻击可能不包含重大的恶意活动,只会产生异常的网络流量。然而,传统的安全技术通常从这两层检测攻击。虽然一些安全技术可以检测到应用层的某些攻击,但这些技术只能检测到一些已知的攻击,而不能检测到发生在应用层的未知或新颖的攻击。从理论上讲,应用层异常检测可以检测出发生在应用层上的未知和新颖的攻击,因此对应用层异常检测的研究非常重要。提出了一种新的基于HSMM的应用层异常检测方法。实验结果表明,该方法检测精度高,误报率低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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