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Proceedings Paper

Detection of UDP-flood attack with hidden Markov models
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Paper Abstract

A scheme that uses the hidden Markov model (HMM) is proposed in this work to detect unauthorized nuisance packets in IP networks, which waste network resources and may result in the denial of service (DoS) attack. The proposed HMM is designed to differentiate the attack traffic from the normal traffic systematically. The design of the basic HMM model is first introduced, and the operations of the detector are then described in detail. Finally, we show that the detector using HMM is not sensitive to various attack types and able to detect the attack at an earlier stage.

Paper Details

Date Published: 10 August 2004
PDF: 8 pages
Proc. SPIE 5440, Digital Wireless Communications VI, (10 August 2004); doi: 10.1117/12.542358
Show Author Affiliations
Junghun Park, Univ. of Southern California (United States)
Lei Huang, Loyola Marymount Univ. (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5440:
Digital Wireless Communications VI
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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