Distress detection (poster abstract)

Authors:
Mark Vella;Sotirios Terzis;Marc Roper
Affiliations:
Department of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom;Department of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom;Department of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom
Venue:
RAID'12 Proceedings of the 15th international conference on Research in Attacks, Intrusions, and Defenses
Year:
2012

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Abstract

Web attacks are a major security concern as novel attacks can be easily created by exploiting different vulnerabilities, using different attack payloads, and/or encodings (obfuscation). Intrusion detection systems (IDS) aim to correctly detect attacks. There are two main approaches to intrusion detection: misuse and anomaly detection. Despite the difference in approach, they both fail to offer adequate resilience to novel attacks due to the difficulty in generalizing beyond known attack or normal behavior [1].