White Papers

A Framework for Classifying Denial of Service Attacks

Overview Launching a Denial of Service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- or multi-source can help focus a response, but current packet-header-based approaches are susceptible to spoofing. This paper introduces a framework for classifying DoS attacks based on header content, transient ramp-up behavior and novel techniques such as spectral analysis. Although headers are easily forged, the paper shows that characteristics of attack ramp-up and attack spectrum are more difficult to spoof. To evaluate the framework the paper monitored access links of a regional ISP detecting 80 live attacks. Header analysis identified the number of attackers in 67 attacks, while the remaining 13 attacks were classified based on ramp-up and spectral analysis.

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Publisher: Association for Computing Machinery
File Format: PDF
Date Published: Oct 14, 2008
Format: White Papers
Topics: Denial of Service, Network Security, Security Standards

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