@inproceedings{c06e99798e9341aba366e8f5b24a1a02,
title = "Panacea: automating attack classification for anomaly-based network intrusion detection systems",
abstract = "Anomaly-based intrusion detection systems are usually criticized because they lack a classification of attacks, thus security teams have to manually inspect any raised alert to classify it. We present a new approach, Panacea, to automatically and systematically classify attacks detected by an anomaly-based network intrusion detection system.",
author = "D. Bolzoni and S. Etalle and P.H. Hartel",
year = "2009",
doi = "10.1007/978-3-642-04342-0\_1",
language = "English",
isbn = "978-3-642-04341-3",
series = "Lecture Notes in Computer Science (LNCS)",
publisher = "Springer",
pages = "1--20",
editor = "E. Kirda and S. Jha and D. Balzarotti",
booktitle = "Recent Advances in Intrusion Detection",
address = "Germany",
}