Methods of Distinguishing Flash Crowds from Spoofed DoS Attacks

Quyen Le, M. Zhanikeev, Y. Tanaka
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引用次数: 20

Abstract

Web services have become an indispensable part of the Internet and the world. We have learned their applicability in every aspects of human life which lead to the huge amount of Web traffic exchanged over the Internet everyday. This excessive popularity is also the cause that led to some troubles. Among them, Flash crowds and Denial of Service (DoS) attacks are the two major concerns for the stability and safety of the Web services. So far, there are some methods that can detect the occurrences of these incidents in network traffic, however it still remains unclear how to explicitly distinguish DoS attacks and Flash crowds as these anomalies are very much alike. In this paper, we present various analyses on traffic traces of DoS attacks and Flash crowds to prove that even though DoS attacks mimic Flash crowds, there are still several differences in various aspects of these two incidents. As long as Flash crowd is an unusual traffic phenomenon of web user communities, there must be some features that a single DoS attacker cannot imitate. We specially focused on the source distribution and the variation pattern in traffic and archived remarkable results.
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区分Flash人群与欺骗性DoS攻击的方法
Web服务已经成为Internet和世界不可缺少的一部分。我们已经了解到它们在人类生活的各个方面的适用性,这导致了每天在互联网上交换的大量网络流量。这种过度流行也是导致一些麻烦的原因。其中,Flash人群和拒绝服务(DoS)攻击是影响Web服务稳定性和安全性的两个主要问题。到目前为止,有一些方法可以检测网络流量中这些事件的发生,但是如何明确区分DoS攻击和Flash人群仍然不清楚,因为这些异常非常相似。在本文中,我们对DoS攻击和Flash人群的流量轨迹进行了各种分析,以证明即使DoS攻击模仿Flash人群,这两个事件在各个方面仍然存在一些差异。只要Flash人群是网络用户社区的一种不寻常的流量现象,那么一定有一些特征是单个DoS攻击者无法模仿的。我们特别关注了流量的来源分布和变化规律,并取得了显著的成果。
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