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An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment

Adel Abusitta, Martine Bellaïche and Michel Dagenais

Article (2018)

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Abstract

Cloud Computing enables providers to rent out space on their virtual and physical infrastructures. Denial of Service (DoS) attacks threaten the ability of the cloud to respond to clients requests, which results in considerable economic losses. The existing detection approaches are still not mature enough to satisfy a cloud-based detection systems requirements since they overlook the changing/dynamic environment, that characterises the cloud as a result of its inherent characteristics. Indeed, the patterns extracted and used by the existing detection models to identify attacks, are limited to the current VMs infrastructure but do not necessarily hold after performing new adjustments according to the pay-as-you-go business model. Therefore, the accuracy of detection will be negatively affected. Motivated by this fact, we present a new approach for detecting DoS attacks in a virtualized cloud under changing environment. The proposed model enables monitoring and quantifying the effect of resources adjustments on the collected data. This helps filter out the effect of adjustments from the collected data and thus enhance the detection accuracy in dynamic environments. Our solution correlates as well VMs application metrics with the actual resources load, which enables the hypervisor to distinguish between benignant high load and DoS attacks. It helps also the hypervisor identify the compromised VMs that try to needlessly consume more resources. Experimental results show that our model is able to enhance the detection accuracy under changing environments.

Uncontrolled Keywords

Cloud computing, DoS attacks detection, Support vector machine, Changing environment, Virtual machines

Subjects: 2700 Information technology > 2716 Virtual reality and related simulations
2700 Information technology > 2719 Computer architecture and design
2700 Information technology > 2721 Multimedia systems and networks
Department: Department of Computer Engineering and Software Engineering
Funders: CNSNG/NSERC
PolyPublie URL: https://publications.polymtl.ca/4735/
Journal Title: Journal of Cloud Computing : Advances, Systems and Applications (vol. 7, no. 9)
Publisher: Springer
DOI: 10.1186/s13677-018-0109-4
Official URL: https://doi.org/10.1186/s13677-018-0109-4
Date Deposited: 07 Dec 2020 11:28
Last Modified: 10 Apr 2024 19:49
Cite in APA 7: Abusitta, A., Bellaïche, M., & Dagenais, M. (2018). An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment. Journal of Cloud Computing : Advances, Systems and Applications, 7(9), 9 (18 pages). https://doi.org/10.1186/s13677-018-0109-4

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