Techniques to detect terrorists/extremists on the dark web: A review
Purpose: With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremis...
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| Format: | Article |
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Emerald Publishing
2022
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| _version_ | 1796867468752322560 |
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| author | Alghamdi, Hanan Selamat, Ali |
| author_facet | Alghamdi, Hanan Selamat, Ali |
| author_sort | Alghamdi, Hanan |
| collection | ePrints |
| description | Purpose: With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown. Design/methodology/approach: This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them. Findings: Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering. Originality/value: At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis. |
| first_indexed | 2024-03-05T21:27:43Z |
| format | Article |
| id | utm.eprints-103477 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:27:43Z |
| publishDate | 2022 |
| publisher | Emerald Publishing |
| record_format | dspace |
| spelling | utm.eprints-1034772023-11-14T06:16:07Z http://eprints.utm.my/103477/ Techniques to detect terrorists/extremists on the dark web: A review Alghamdi, Hanan Selamat, Ali T Technology (General) Purpose: With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown. Design/methodology/approach: This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them. Findings: Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering. Originality/value: At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis. Emerald Publishing 2022 Article PeerReviewed Alghamdi, Hanan and Selamat, Ali (2022) Techniques to detect terrorists/extremists on the dark web: A review. Data Technologies and Applications, 56 (4). pp. 461-482. ISSN 2514-9288 http://dx.doi.org/10.1108/DTA-07-2021-0177 DOI : 10.1108/DTA-07-2021-0177 |
| spellingShingle | T Technology (General) Alghamdi, Hanan Selamat, Ali Techniques to detect terrorists/extremists on the dark web: A review |
| title | Techniques to detect terrorists/extremists on the dark web: A review |
| title_full | Techniques to detect terrorists/extremists on the dark web: A review |
| title_fullStr | Techniques to detect terrorists/extremists on the dark web: A review |
| title_full_unstemmed | Techniques to detect terrorists/extremists on the dark web: A review |
| title_short | Techniques to detect terrorists/extremists on the dark web: A review |
| title_sort | techniques to detect terrorists extremists on the dark web a review |
| topic | T Technology (General) |
| work_keys_str_mv | AT alghamdihanan techniquestodetectterroristsextremistsonthedarkwebareview AT selamatali techniquestodetectterroristsextremistsonthedarkwebareview |