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Author/Affiliation: Ken Ferens
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Open AccessArticle
18 Pages, 2,130 KB Download PDF

A Support Vector Machine Cost Function in Simulated Annealing for Network Intrusion Detection

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 3, Page # 260–277, 2019; DOI: 10.25046/aj040334
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…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
19 Pages, 1,686 KB Download PDF

A Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 302–320, 2017; DOI: 10.25046/aj020340
Abstract:

A wormhole attack is one of the most critical and challenging security threats for wireless sensor networks because of its nature and ability to perform concealed malicious activities. This paper proposes an innovative wormhole detection scheme to detect wormhole attacks using computational intelligence and an artificial neural network (ANN). Most wormhole detection schemes reported in…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Information Systems in Computer Science (CIS))

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