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Detection of DoS and DDoS Attacks Using Hidden Markov Model

Publication Type : Conference Paper

Publisher : Springer

Source : Lecture Notes in Networks and Systems, vol 311. Springer, Singapore

Url : https://link.springer.com/chapter/10.1007/978-981-16-5529-6_74

Campus : Coimbatore

School : School of Computing

Year : 2022

Abstract : This is the era of cloud computing. Major companies use the internet to access resources like GPU and NAS. A reliable and good network is very essential for any company. DNS attacks are more prominent in these segment of networks. DoS and DDoS minimize the potential of the resources that are immediately available to the company. They use majority of the resources and important tasks carried out in the company will get delayed because of hogging these resources. In this paper, we have proposed a scheme to detect DoS and DDoS using HMM algorithm. We have taken KDD-CUP dataset for our research. We have started the paper by giving an introduction about why networking is important and how DoS and DDoS affect the companies. Next, we have enumerated the sub classes of DNS attacks followed by explaining Markov Models and HMM. Then, we have proposed our scheme to tackle these DoS and DDoS attacks using HMM, followed by presenting our results and performance metrics.

Cite this Research Publication : Balaji Bharatwaj, M., Aditya Reddy, M., Senthil Kumar, T., Vajipayajula, S. (2022). Detection of DoS and DDoS Attacks Using Hidden Markov Model. In: Ranganathan, G., Fernando, X., Shi, F. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 311. Springer, Singapore

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