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

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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 1st International Conference on Security of Internet of Things, SecurIT 2012
Pages160-164
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event1st International Conference on Security of Internet of Things, SecurIT 2012 - Kerala, India
Duration: 17 Aug 201219 Aug 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st International Conference on Security of Internet of Things, SecurIT 2012
Country/TerritoryIndia
CityKerala
Period17/08/1219/08/12

Keywords

  • Denial-of-service attack
  • Euclidean distance
  • Multivariate correlations
  • Network traffic characterization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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