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To Defeat DDoS Attacks in Cloud Computing Environment Using Software Defined Networking (SDN)

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Intelligent Algorithms in Software Engineering (CSOC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1224))

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Abstract

At present cloud computing environment, DDoS attacks have become a weapon for the illegitimate user’s as well as for the cyber terrorists. These attacks have the capability to disrupt large scale network infrastructure. Despite the various traditional DDoS mitigation techniques that exist present, DDoS attacks are rapidly growing in volume, frequency, and severity. This entitles for advance network architecture to represent the requirements of the present security challenge. Software-defined networking (SDN) is the new cloud-based networking paradigm which is rapidly gaining attention to the researchers to address the need of today’s data-centers—considering of functionalities of SDN-based platform, the proposed survey study providing comprehensive knowledge on prior SDN-based DDoS attack detection and mitigation strategies. This paper classifies solution strategies based on DDoS detection and mitigation techniques. Also, discussing current technologies to defend the DDoS attacks followed by future research direction to address the certain challenges identified in the research gap from existing studies. This paper is meant to brief about the existing system and practical approaches to solving such problems.

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  1. Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India

    B. N. Yuvaraju & M. Narender

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  1. B. N. Yuvaraju
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    Radek Silhavy

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Yuvaraju, B.N., Narender, M. (2020). To Defeat DDoS Attacks in Cloud Computing Environment Using Software Defined Networking (SDN). In: Silhavy, R. (eds) Intelligent Algorithms in Software Engineering. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-51965-0_7

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