Paper Title:
DDoS Detection and Prevention Based on Joint Entropy and Conditional Entropy
  Abstract

Distributed Denial of Service (DDoS) imposes a very serious threat to the stability of the Internet. Compared with many detection approaches, detecting DDoS attacks based on entropy has advantages such as simplicity, high sensitivity and low false positive rate. But the method with single attribute entropy has high false positive rate when detecting attribute forged attacks. This paper presents a detecting method based on joint entropy and a filtering way based on conditional entropy. The efficiency of this scheme is validated with simulation on the research lab network.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
2129-2133
DOI
10.4028/www.scientific.net/KEM.474-476.2129
Citation
Y. H. Gu, W. M. Wu, "DDoS Detection and Prevention Based on Joint Entropy and Conditional Entropy", Key Engineering Materials, Vols. 474-476, pp. 2129-2133, 2011
Online since
April 2011
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Price
$32.00
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