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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Detecting VoIP Floods Using the Hellinger Distance
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Detecting VoIP Floods Using the Hellinger Distance

机译：使用Hellinger距离检测VoIP洪泛

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摘要

Voice over IP (VoIP) a.k.a. Internet telephony is gaining market share rapidly and now competes favorably as one of the visible applications of the Internet. Nevertheless, being an application running over the TCP/IP protocol suite, it is susceptible to flooding attacks. If flooded, being a time-sensitive service, VoIP voice quality may show noticeable degradation and even encounter sudden service disruptions. Because multiple protocols are involved in VoIP service, and most of them are susceptible to flooding, an effective solution must be able to detect and overcome hybrid floods. As a solution, we offer emph{VoIP Flood Detection Systems (vFDS)}---an online, statistical anomaly detection framework that generates alerts based on abnormal variations in a selected hybrid collection of traffic flows. It does so by viewing collections of related packet streams as evolving probability distributions and measuring abnormal variations in their relationships using the emph{Hellinger distance}---a measure of variability between two probability distributions. Experimental results show that vFDS is fast and accurate in detecting flooding attacks, without noticeably increasing call setup times or introducing jitter into the voice streams.
机译：IP语音（VoIP）也称为Internet电话，正在迅速获得市场份额，并且现在作为Internet的可见应用程序之一而竞争激烈。但是，由于它是运行在TCP / IP协议套件上的应用程序，因此容易受到洪泛攻击。如果淹没，这是一项对时间敏感的服务，VoIP语音质量可能会显示出明显的下降，甚至会遇到突然的服务中断。由于VoIP服务中涉及多种协议，并且大多数协议容易受到洪泛影响，因此有效的解决方案必须能够检测并克服混合洪泛。作为解决方案，我们提供了emph {VoIP洪水检测系统（vFDS）} ---一种在线的统计异常检测框架，该框架根据选定的混合流量集合中的异常变化生成警报。它通过将相关的数据包流的集合视为不断演变的概率分布，并使用emph {Hellinger distance}（一种衡量两种概率分布之间的可变性）来测量它们之间关系的异常变化来做到这一点。实验结果表明，vFDS可以快速准确地检测洪泛攻击，而不会显着增加呼叫建立时间或在语音流中引入抖动。

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