A dynamic subspace anomaly detection method using generic algorithm for streaming network data

Zhang, Ji and Li, Hongzhou (2015) A dynamic subspace anomaly detection method using generic algorithm for streaming network data. In: Handbook of research on emerging developments in data privacy. Advances in Information Security Privacy, and Ethics. IGI Publishing (IGI Global), Hershey, PA. United States, pp. 403-425. ISBN 978-1-46667381-6

Abstract

A great deal of research attention has been paid to data mining on data streams in recent years. In this chapter, the authors carry out a case study of anomaly detection in large and high-dimensional network connection data streams using Stream Projected Outlier deTector (SPOT) that is proposed in Zhang et al. (2009) to detect anomalies from data streams using subspace analysis. SPOT is deployed on 1999 KDD CUP anomaly detection application. Innovative approaches for training data generation, anomaly classification, false positive reduction, and adoptive detection subspace generation are proposed in this chapter as well. Experimental results demonstrate that SPOT is effective and efficient in detecting anomalies from network data streams and outperforms existing anomaly detection methods.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2015 IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 26 Mar 2015 05:07
Last Modified: 09 Aug 2016 05:34
Uncontrolled Keywords: anomaly detection; data generation
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
10 Technology > 1005 Communications Technologies > 100504 Data Communications
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services
Identification Number or DOI: 10.4018/978-1-4666-7381-6.ch018
URI: http://eprints.usq.edu.au/id/eprint/26760

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