Improving Anomaly Detection for Text-Based Protocols by Exploiting Message Structures

Improving Anomaly Detection for Text-Based Protocols by Exploiting Message Structures

Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown attacks. In this paper, we present an extension to known Support Vector Machine (SVM) based anomaly detection algorithms...

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Bibliographic Details
Main Authors: Christian M. Mueller, Martin Güthle, Jochen Kögel, Stefan Wahl, Matthias Kaschub
Format: Article
Language:English
Published: MDPI AG 2010-12-01
Series:Future Internet
Subjects:
anomaly detection
classification
text-based protocols
SIP
SVM
Online Access:http://www.mdpi.com/1999-5903/2/4/662/

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http://www.mdpi.com/1999-5903/2/4/662/

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