On detecting abrupt changes in network entropy time series

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

17 Zitate (Scopus)

Abstract

In recent years, much research focused on entropy as a metric describing the "chaos" inherent to network traffic. In particular, network entropy time series turned out to be a scalable technique to detect unexpected behavior in network traffic. In this paper, we propose an algorithm capable of detecting abrupt changes in network entropy time series. Abrupt changes indicate that the underlying frequency distribution of network traffic has changed significantly. Empirical evidence suggests that abrupt changes are often caused by malicious activity such as (D)DoS, network scans and worm activity, just to name a few. Our experiments indicate that the proposed algorithm is able to reliably identify significant changes in network entropy time series. We believe that our approach helps operators of large-scale computer networks in identifying anomalies which are not visible in flow statistics.

OriginalspracheEnglisch
TitelCommunications and Multimedia Security - 12th IFIP TC 6 / TC 11 International Conference, CMS 2011, Proceedings
Seiten194-205
Seitenumfang12
Band7025
Auflage7025
DOIs
PublikationsstatusVeröffentlicht - 2011
Veranstaltung12th IFIP TC-6 and TC-11 Conference on Communications and Multimedia Security, CMS 2011 - Ghent, Belgien
Dauer: 19 Okt. 201121 Okt. 2011

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band7025 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz12th IFIP TC-6 and TC-11 Conference on Communications and Multimedia Security, CMS 2011
Land/GebietBelgien
OrtGhent
Zeitraum19.10.201121.10.2011

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