Abstract : This paper discusses several issues of evaluation and comparison of anomaly detection algorithms, namely lack of publicly available implementations and annotated data sets. Another problem of many methods is a detection delay caused by operating on data binned to a long time intervals. The paper presents a library under development which aims to tackle the comparison and evaluation issues. Further, the paper proposes a novel anomaly detection approach that can contribute to anomaly detection in real-time.
Type de document :
Communication dans un congrès
Ramin Sadre; Jiří Novotný; Pavel Čeleda; Martin Waldburger; Burkhard Stiller. 6th International Conference on Autonomous Infrastructure (AIMS), Jun 2012, Luxembourg, Luxembourg. Springer, Lecture Notes in Computer Science, LNCS-7279, pp.118-121, 2012, Dependable Networks and Services. 〈10.1007/978-3-642-30633-4_15〉
https://hal.inria.fr/hal-01529795
Contributeur : Hal Ifip
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Soumis le : mercredi 31 mai 2017 - 13:17:54
Dernière modification le : mercredi 31 mai 2017 - 13:19:35
Document(s) archivé(s) le : mercredi 6 septembre 2017 - 16:18:11
Václav Bartoš, Martin Žádník. Network Anomaly Detection: Comparison and Real-Time Issues. Ramin Sadre; Jiří Novotný; Pavel Čeleda; Martin Waldburger; Burkhard Stiller. 6th International Conference on Autonomous Infrastructure (AIMS), Jun 2012, Luxembourg, Luxembourg. Springer, Lecture Notes in Computer Science, LNCS-7279, pp.118-121, 2012, Dependable Networks and Services. 〈10.1007/978-3-642-30633-4_15〉. 〈hal-01529795〉
