Detection of Arabic Terrorism Keyword in Websites

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Arief Rahmana, et. al.

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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How to Cite
et. al., A. R. . (2021). Detection of Arabic Terrorism Keyword in Websites . Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(8), 1696–1701. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/3236
Section
Research Articles