Distress detection

Tools

Vella, Mark Joseph and Terzis, Sortirios and Roper, Marc; Davide, Balzarotti and Salvatore.J., Stolfo and Marco, Cova, eds. (2012) Distress detection. In: Research in Attacks, Intrusions, and Defenses. Lecture Notes in Computer Science . Springer, NLD, pp. 384-385. ISBN 978-3-642-33337-8 (https://doi.org/10.1007/978-3-642-33338-5_24)

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Abstract

Web attacks are a major security concern as novel attacks can be easily created by targeting dierent vulnerabilities, using dierent vulnerability exploits, attack payloads, and/or request 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 dierence in approach, they both fail to oer adequate resilience to novel attacks due to the diculty in generalizing beyond known attack or normal behavior [1].

ORCID iDs

Vella, Mark Joseph, Terzis, Sortirios ORCID logoORCID: https://orcid.org/0000-0002-5061-9923 and Roper, Marc ORCID logoORCID: https://orcid.org/0000-0001-6794-4637; Davide, Balzarotti, Salvatore.J., Stolfo and Marco, Cova
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