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2016 | OriginalPaper | Chapter

Detecting the Origin of DDoS Attacks in OpenStack Cloud Platform Using Data Mining Techniques

Authors : Konstantin Borisenko, Andrey Rukavitsyn, Andrei Gurtov, Andrey Shorov

Published in: Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Architecture for the Cyber Security Situational Awareness System
next chapter Investigation of Protection Mechanisms Against DRDoS Attacks Using a Simulation Approach
Literature
1.
2.
3.
4.
Munz, G., Li, S., Carle, G.: Traffic anomaly detection using k-means clustering. In: GI/ITG Workshop MMBnet (2007)
5.
6.
7.
8.
Delimitrou, C., Kozyrakis, C.: Security Implications of Data Mining in Cloud Scheduling. IEEE Comput. Arch. Lett. 1–1 (2015)
9.
Dou, W., Chen, Q., Chen, J.: A confidence-based filtering method for DDoS attack defense in cloud environment. Future Gen. Comput. Syst. 29, 1838–1850 (2013)CrossRef
10.
Vieira, K., Schulter, A., Westphall, C., Westphall, C.: Intrusion detection for grid and cloud computing. IT Prof. 12, 38–43 (2010)CrossRef
11.
Zolotukhin, M., Hamalainen, T., Kokkonen, T., et al.: Data mining approach for detection of DDoS attacks utilizing SSL/TLS protocol. In: 15th International Conference, NEW2AN 2015, St. Petersburg, Russia, pp. 274–285 (2015)
12.
Bekeneva, Y., Borisenko, K., Shorov, A., Kotenko, I.: Investigation of DDoS attacks by hybrid simulation. In: Khalil, I., et al. (eds.) ICT-EurAsia 2015 and CONFENIS 2015. LNCS, vol. 9357, pp. 179–189. Springer, Heidelberg (2015). doi:10.​1007/​978-3-319-24315-3_​18 CrossRef
13.
Borisenko, K., Smirnov, A., Novikova, E., Shorov, A.: DDoS attacks detection in cloud computing using data mining techniques. In: Perner, P. (ed.) ICDM 2016. LNCS (LNAI), vol. 9728, pp. 197–211. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-41561-1_​15 CrossRef
Metadata
Title
Detecting the Origin of DDoS Attacks in OpenStack Cloud Platform Using Data Mining Techniques
Authors
Konstantin Borisenko
Andrey Rukavitsyn
Andrei Gurtov
Andrey Shorov
Copyright Year
2016
Book
Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Print ISBN: 978-3-319-46300-1

Electronic ISBN: 978-3-319-46301-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46301-8_25

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