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Author/Affiliation: Md Nasimuzzaman ChowdhuryOpen AccessArticle
18 Pages, 2,130 KB 
A Support Vector Machine Cost Function in Simulated Annealing for Network Intrusion Detection
Abstract:
This paper proposes a computationally intelligent algorithm for extracting relevant features from a training set. An optimal subset of features is extracted from training examples of network intrusion datasets. The Support Vector Machine (SVM) algorithm is used as the cost function within the thermal equilibrium loop of the Simulated Annealing (SA) algorithm. The proposed fusion…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))