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]. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Vella, M., Terzis, S., & Roper, M. (2012). Distress detection (poster abstract). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7462 LNCS, pp. 384–385). https://doi.org/10.1007/978-3-642-33338-5_24
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