DDoS attacks detection in cloud computing using data mining techniques

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Abstract

Cloud computing platforms are developing fast nowadays. Due to their increasing complexity, hackers have more and more opportunities to attack them successfully. In this paper, we present an approach for detection internal and external DDoS attacks in cloud computing using data mining techniques. The main features of the cloud security component that implements suggested approach is an ability to detect both types of DDoS attacks and usage of data mining techniques. The component prototype is implemented in OpenStack cloud computing platform. The paper presents the results of the experiments with different types of DDoS attacks.

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Borisenko, K., Smirnov, A., Novikova, E., & Shorov, A. (2016). DDoS attacks detection in cloud computing using data mining techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9728, pp. 197–211). Springer Verlag. https://doi.org/10.1007/978-3-319-41561-1_15

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