Imbalanced Data Detection Kernel Method in Closed Systems

Abstract:

Under the study of Kernel Methods, this paper put forward two improved algorithm which called R-SVM & I-SVDD in order to cope with the imbalanced data sets in closed systems. R-SVM used K-means algorithm clustering space samples while I-SVDD improved the performance of original SVDD by imbalanced sample training. Experiment of two sets of system call data set shows that these two algorithms are more effectively and R-SVM has a lower complexity.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3652-3658
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3652
• Online since: September 2013
• Authors: You Li Lu, Jun Luo
• Keywords: Component, Imbalaced Classification, Kernel Method, SVDD

References

[1] Tandom G，Chan P．Learning Useful System Call Attributes for Anomaly Detection[A]．In: Proc 18th Intl FLAIRS Conf，2005.

[2] Amoroso, E.: Intrusion detection: an introduction to internet surveillance, correlation, trace back, traps, and response, 1st edn. Intrusion NetBooks , 1999, pp.24-27.

[3] GhasemiGol, M., Monsefi, R., Sadoghi-Yazdi, H.: Ellipse Support Vector Data Description. EANN 2009, Springer, CCIS 43, p.257–268 (2009).

DOI: 10.1007/978-3-642-03969-0_24

[4] Article in a journal.

[5] Banerjee A，Burlina P，Diehl C．A support vector method for anomaly detection in hyperspectral imagery．IEEE Transactions on geoscience and remote sensing，2008，44(8): 2282-2291.

DOI: 10.1109/tgrs.2006.873019

[6] Article in a conference proceedings.

[7] Agarwal C (2005) An empirical bayes approach to detect anomalies in dynamic multidimen-sionalarrays. In: Proceedings of the 5th IEEE international conference on data mining. IEEE Computer Society, Washington, DC, USA, p.26–33.

DOI: 10.1109/icdm.2005.22

[8] Liu, Y., Gururajan, S., Cukic, B., Menzies, T., Napolitano, M.: Validating an online adaptive system using SVDD. In: Proceedings of the 15th IEEE international conference on tools with artificial intelligence (ICTAI'03), p.384–388. Sacramento, California, USA, 3–5 Nov (2003).

DOI: 10.1109/tai.2003.1250215

[9] Parmer Gabriel，West Richard，Hijack：Taking Control of COTS Systems for Real-Time User-Level Services．In：Proceedings of 13th IEEE on Real Time and Embedded Technology and Applications Symposium．April 2007，133-146.

DOI: 10.1109/rtas.2007.14

[10] Ji, R., Liu, D., Wu, M., Liu, J.: The application of SVDD in gene expression data clustering. In: Proceedings of the 2nd international conference on bioinformatics and biomedical engineering (ICBBE'08), p.371–374. Shanghai, China, 16–18 May (2008).

DOI: 10.1109/icbbe.2008.94