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Inferring Internet denial-of-service activity

Moore, David, Shannon, Colleen, Brown, Douglas J., Voelker, Geoffrey M., Savage, Stefan·2006·ACM Transactions on Computer Systems

Abstract

In this article, we seek to address a simple question: “How prevalent are denial-of-service attacks in the Internet?” Our motivation is to quantitatively understand the nature of the current threat as well as to enable longer-term analyses of trends and recurring patterns of attacks. We present a new technique, called “backscatter analysis,” that provides a conservative estimate of worldwide denial-of-service activity. We use this approach on 22 traces (each covering a week or more) gathered over three years from 2001 through 2004. Across this corpus we quantitatively assess the number, duration, and focus of attacks, and qualitatively characterize their behavior. In total, we observed over 68,000 attacks directed at over 34,000 distinct victim IP addresses---ranging from well-known e-commerce companies such as Amazon and Hotmail to small foreign ISPs and dial-up connections. We believe our technique is the first to provide quantitative estimates of Internet-wide denial-of-service activity and that this article describes the most comprehensive public measurements of such activity to date.

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Metadata

Authors
Moore, D., Shannon, C., Brown, D. J., Voelker, G. M., & Savage, S.
Venue
ACM Transactions on Computer Systems
Published
2006-05
Volume
24
Issue
2
Pages
115-139
ISSN
  • 0734-2071 (ISSN-L)
  • 1557-7333
OpenAlex
W2081357650
Cited by
781
References
0
FWCI
82.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inferring Internet denial-of-service activity. https://app.cochat.ai/papers/10.1145/1132026.1132027
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Moore, D., Shannon, C., Brown, D. J., Voelker, G. M., & Savage, S. (2006). Inferring Internet denial-of-service activity. ACM Transactions on Computer Systems. https://doi.org/10.1145/1132026.1132027

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.