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Erschienen in:
2007 | OriginalPaper | Buchkapitel
A Symptom-Based Taxonomy for an Early Detection of Network Attacks
verfasst von : Ki-Yoon Kim, Hyoung-Kee Choi
Erschienen in: Intelligence and Security Informatics
Verlag: Springer Berlin Heidelberg
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We present a symptom-based taxonomy for an early detection of network attacks. Since this taxonomy uses symptoms in the network it is relatively easy to access the information to classify the attack. Accordingly it is quite early to detect an attack as the symptom always appears before the main stage of the attack. Furthermore, we are able to classify unknown attacks if the symptom of unknown attacks is correlated with the one of the already known attacks.