Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming
Crossref DOI link: https://doi.org/10.1007/s11063-015-9457-y
Published Online: 2015-07-11
Published Print: 2016-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pozi, Muhammad Syafiq Mohd
Sulaiman, Md Nasir
Mustapha, Norwati
Perumal, Thinagaran
Funding for this research was provided by:
Ministry of Higher Education, Malaysia (08-02-14-1576FR)
Text and Data Mining valid from 2015-07-11