Title: Cloud-based DDoS attack detection and defence system using statistical approach

Authors: B.S. Kiruthika Devi; T. Subbulakshmi

Addresses: School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India ' School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

Abstract: In the recent era, business and IT domain rely on the cloud as it has evolved as the potential service model and lots of people jumped on the bandwagon to seek profit out of the cloud computing environment. The cloud is highly vulnerable and its risk associated with unpatched machines is exposed to distributed denial of service (DDoS) attacks. According to cloud security alliance group DDoS is the major security attack in the cloud and the impact and effects on virtual machines is much unexplored. Despite numerous DDoS solutions, there is a need for 'a dish fit for gods' in cloud. Hence, the proposed system defends the DDoS attacks in cloud by monitoring the performance distortion, detecting multilayer attacks using statistical method. Based on the attack variances with normal using chi-square statistics, DDoS attack sources are enlisted and communicated to the defence system to filter attack traffic and protect the cloud.

Keywords: cloud computing; distributed denial of service; DDoS; cloud security; virtual machines; statistical method; chi-square statistics.

DOI: 10.1504/IJICS.2019.101935

International Journal of Information and Computer Security, 2019 Vol.11 No.4/5, pp.447 - 475

Available online: 27 Aug 2019 *

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