Performance analysis of intrusion detection systems in cloud-based systems

TitrePerformance analysis of intrusion detection systems in cloud-based systems
Publication TypeJournal Article
Year of Publication2017
AuthorsCherkaoui, R, Zbakh, M, Braeken, A, Touhafi, A
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10542 LNCS
Pagination206-213
Abstract

Cloud computing services are widely used nowadays and need to be more secured for an effective exploitation by the users. One of the most challenging issues in these environments is the security of the hosted data. Many cloud computing providers offer web applications for their clients, this is why the most handling attacks in cloud computing are Distributed Denial of Service (DDoS). In this paper, we provide a comparative performance analysis of intrusion detection systems (IDSs) in a real world lab. The aim is to provide an up to date study for researchers and practitioners to understand the issues related to intrusion detection and to deal with DDoS attacks. This analysis includes intrusion detection rates, time running, etc. In the experiments, we configured a cloud platform using OpenStack and an IDS monitoring the whole network traffic of the web server configured. The results show that Suricata drops fewer packets than Bro and Snort successively when a DDoS attack is happening and detect more malicious packets. © Springer International Publishing AG 2017.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85034613510&doi=10.1007%2f978-3-319-68179-5_18&partnerID=40&md5=3e0ce668710d845db260ee41dabb49b5
DOI10.1007/978-3-319-68179-5_18
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