Detection of Arabic Terrorism Keyword in Websites
Main Article Content
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.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.