Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming-Reference-Cited by-同舟云学术

Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming

Published:2015-07-11 Issue:2 Volume:44 Page:279-290
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Pozi Muhammad Syafiq Mohd,Sulaiman Md Nasir,Mustapha Norwati,Perumal Thinagaran

Funder

Ministry of Higher Education, Malaysia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-015-9457-y.pdf

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