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Evaluation on multivariate correlation analysis based denial-of-service attack detection system

Tan, Zhiyuan; Jamdagni, Aruna; Nanda, Priyadarsi; He, Xiangjian; Liu, Ren Ping

Authors

Aruna Jamdagni

Priyadarsi Nanda

Xiangjian He

Ren Ping Liu



Abstract

In this paper, a Denial-of-Service (DoS) attack detection system is explored, where a multivariate correlation analysis technique based on Euclidean distance is applied for network traffic characterization and the principal of anomaly-based detection is employed in attack recognition. The effectiveness of the detection system is evaluated on the KDD Cup 99 dataset and the influence of data normalization on the performance of attack detection is analyzed in this paper as well. The evaluation results and comparisons prove that the detection system is effective in distinguishing DoS attack network traffic from legitimate network traffic and outperforms two state-of-the-art systems

Citation

Tan, Z., Jamdagni, A., Nanda, P., He, X., & Liu, R. P. (2012, August). Evaluation on multivariate correlation analysis based denial-of-service attack detection system. Presented at Proceedings of the First International Conference on Security of Internet of Things - SecurIT '12, Kollam, India

Presentation Conference Type Conference Paper (published)
Conference Name Proceedings of the First International Conference on Security of Internet of Things - SecurIT '12
Start Date Aug 17, 2012
End Date Aug 19, 2012
Online Publication Date Aug 17, 2012
Publication Date 2012
Deposit Date Jun 16, 2017
Publisher Association for Computing Machinery (ACM)
Pages 160-164
Book Title SecurIT '12 Proceedings of the First International Conference on Security of Internet of Things
Chapter Number NA
ISBN 9781450318228
DOI https://doi.org/10.1145/2490428.2490450
Keywords multivariate correlations, network traffic characterization, denial-of-service attack, euclidean distance
Public URL http://researchrepository.napier.ac.uk/Output/948368