Detection of Arabic Terrorism Keyword in Websites
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Abstract
This paper presents a detection technique for cyberterrorist suspected activities in the websites by using Krill Herd and Simulated Annealing algorithms. There were 1,700 dataset used with 10 cross-validation for training and testing from Tawhid, Islamion and Alemarah News websites. Based on the experiment conducted, this proposed detection technique has produced 84.9% accuracy rate, which has outperformed with the benchmark work. This paper could be used as guidance other researchers with the same interest.
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