Botnet Traffic Detection Techniques by C&C Session Classification Using SVM-Reference-Cited by-同舟云学术

Botnet Traffic Detection Techniques by C&C Session Classification Using SVM

Published:2007 Issue: Volume: Page:91-104
ISSN:0302-9743
Container-title:Advances in Information and Computer Security
language:
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Author:

Kondo Satoshi,Sato Naoshi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-75651-4_7

Reference18 articles.

1. Barford, P., Yagneswaran, V.: An Inside Look at Botnets. In: Special Workshop on Malware Detection, Advances in Information Security, Springer, Heidelberg (2006)

2. Nepenthes Development Team: http://nepenthes.mwcollect.org/stats:scannertest available from http://nepenthes.mwcollect.org/stats:scannertest

3. M. Roesch: Snort: Lightweight intrusion detection for networks. In: 13th Systems Administration Conference (LISA 1999), pp. 229–238. USENIX Associations (1999)

4. Binkley, J.R., Singh, S.: An Algorithm for Anomaly-based Botnet Detection. In: Workshop on Steps to Reducing Unwanted Traffic on the Internet (SRUTI), pp. 43–48 (July 2006)

5. Oikarinen, J., Reed, D.: Internet Relay Chat Protocol. RFC1459, Internet Engineering Task Force (1993)

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