A Statistical Rule Learning Approach to Network Intrusion Detection. Paper presented at the IT Convergence and Security (ICITCS)

Authors/Creators

Samaneh Rastegari, Edith Cowan UniversityFollow
Chiou-Peng P. Lam, Edith Cowan UniversityFollow
Philip F. Hingston, Edith Cowan UniversityFollow

Keywords

[RstdPub], computer crime, computer network security, feature extraction, genetic algorithms, learning (artificial intelligence), pattern classification, statistical analysis, telecommunication traffic

Document Type

Conference Proceeding

Date of Publication

2015

Faculty

Faculty of Health, Engineering and Science

Publisher

IEEE

School

School of Computer and Security Science

RAS ID

21621

Related Publications

Rastegari, S. (2015). Intelligent network intrusion detection using an evolutionary computation approach. Retrieved from http://ro.ecu.edu.au/theses/1760

Comments

Rastegari, S., Chiou-Peng, L., & Hingston, P. (2015, 24-27 Aug. 2015). A Statistical Rule Learning Approach to Network Intrusion Detection. Paper presented at the IT Convergence and Security (ICITCS), 2015 5th International Conference on. doi: 10.1109/ICITCS.2015.7292933

Copyright

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