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Detecting the Origin of DDoS Attacks in OpenStack Cloud Platform Using Data Mining Techniques
St Petersburg Electrotech University of LETI, Russia.
St Petersburg Electrotech University of LETI, Russia.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. ITMO University, Russia.ORCID iD: 0000-0002-9829-9287
St Petersburg Electrotech University of LETI, Russia.
2016 (English)In: Internet of Things, Smart Spaces, and Next Generation Networks and Systems, NEW2AN 2016/uSMART 2016, SPRINGER INT PUBLISHING AG , 2016, Vol. 9870, 303-315 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents the results of the design and implementation of detection system against DDoS attacks for OpenStack cloud computing platform. Proposed system uses data mining techniques to detect malicious traffic. Formal models of detecting components are described. To train data mining models real legitimate traffic was combined with modelled malicious one. Paper presents results of detecting the origin of DDoS attacks on cloud instances.

Place, publisher, year, edition, pages
SPRINGER INT PUBLISHING AG , 2016. Vol. 9870, 303-315 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743
Keyword [en]
Cloud security; DDoS attacks; Cloud security components; Data mining
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-133552DOI: 10.1007/978-3-319-46301-8_25ISI: 000389503600025ISBN: 978-3-319-46301-8; 978-3-319-46300-1 (print)OAI: oai:DiVA.org:liu-133552DiVA: diva2:1060840
Conference
16th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems (NEW2AN) / 9th Conference on Internet of Things and Smart Spaces Are You Smart (ruSMART)
Available from: 2016-12-30 Created: 2016-12-29 Last updated: 2017-03-16

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Citation style
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