Toward a source detection of botclouds: A PCA-based approach

Hammi Badis, Guillaume Doyen, Rida Khatoun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cloud computing security is often focused on data and users security and protection against external intrusions. However, it exists an area of cloud security that is often overlooked and that can have disastrous consequences: the conversion of cloud computing into an attack vector. Beyond a legitimate usage, the numerous advantages of cloud computing are exploited by attackers. Botnets supporting Distributed Denial of Service (DDoS) attacks are among the greatest beneficiaries of this malicious use. In this paper, we propose a novel source-based detection approach that aims at detecting the abnormal virtual machines behavior. The originality of our approach resides in (1) relying only on the system's metrics of virtual machines and (2) considering a source-based detection. Our approach is based on Principal Component Analysis to detect anomalies that can be signs of botcloud's behavior supporting DDoS flooding attacks. We also present the results of the evaluation of our detection algorithm.

Original languageEnglish
Title of host publicationMonitoring and Securing Virtualized Networks and Services - 8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014, Proceedings
PublisherSpringer Verlag
Pages105-117
Number of pages13
ISBN (Print)9783662438619
DOIs
Publication statusPublished - 1 Jan 2014
Event8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014 - Brno, Czech Republic
Duration: 30 Jun 20143 Jul 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8508 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014
Country/TerritoryCzech Republic
CityBrno
Period30/06/143/07/14

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