Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape
Crime, terrorism, and other illegal activities are increasingly taking place in cyberspace. Crime in the dark web is one of the most serious challenges confronting governments around the world. Dark web makes it difficult to detect criminals and track activities, as it provides anonymity due to spec...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2022-04-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/1817802 |
| _version_ | 1797351863735025664 |
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| author | Eda Sönmez Keziban Seçkin Codal |
| author_facet | Eda Sönmez Keziban Seçkin Codal |
| author_sort | Eda Sönmez |
| collection | DOAJ |
| description | Crime, terrorism, and other illegal activities are increasingly taking place in cyberspace. Crime in the dark web is one of the most serious challenges confronting governments around the world. Dark web makes it difficult to detect criminals and track activities, as it provides anonymity due to special tools such as TOR. Therefore, it has evolved into a platform that includes many illegal activities such as pornography, weapon trafficking, drug trafficking, fake documents, and more specially terrorism as in the context of this paper. Dark web studies are critical for designing successful counter-terrorism strategies. The aim of this research is to conduct a critical analysis of the literature and to demonstrate research efforts in dark web studies related to terrorism. According to result of study, the scientific studies related to terrorism activities have been minimally conducted and the scientific methods used in detecting and combating them in dark web should be varied. Advanced artificial intelligence, image processing and classification by using machine learning, natural language processing methods, hash value analysis, and sock puppet techniques can be used to detect and predict terrorist incidents on the dark web. |
| first_indexed | 2024-03-08T13:06:41Z |
| format | Article |
| id | doaj.art-f2742f4b730a4dd5ab987d078d8a771d |
| institution | Directory Open Access Journal |
| issn | 2636-8129 |
| language | English |
| last_indexed | 2024-03-08T13:06:41Z |
| publishDate | 2022-04-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj.art-f2742f4b730a4dd5ab987d078d8a771d2024-01-18T16:44:35ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292022-04-015112110.35377/saucis...95074628Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism LandscapeEda Sönmez0Keziban Seçkin Codal1ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİCrime, terrorism, and other illegal activities are increasingly taking place in cyberspace. Crime in the dark web is one of the most serious challenges confronting governments around the world. Dark web makes it difficult to detect criminals and track activities, as it provides anonymity due to special tools such as TOR. Therefore, it has evolved into a platform that includes many illegal activities such as pornography, weapon trafficking, drug trafficking, fake documents, and more specially terrorism as in the context of this paper. Dark web studies are critical for designing successful counter-terrorism strategies. The aim of this research is to conduct a critical analysis of the literature and to demonstrate research efforts in dark web studies related to terrorism. According to result of study, the scientific studies related to terrorism activities have been minimally conducted and the scientific methods used in detecting and combating them in dark web should be varied. Advanced artificial intelligence, image processing and classification by using machine learning, natural language processing methods, hash value analysis, and sock puppet techniques can be used to detect and predict terrorist incidents on the dark web.https://dergipark.org.tr/tr/download/article-file/1817802terrorismcyberspacedark webdeep webanonymity |
| spellingShingle | Eda Sönmez Keziban Seçkin Codal Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape Sakarya University Journal of Computer and Information Sciences terrorism cyberspace dark web deep web anonymity |
| title | Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape |
| title_full | Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape |
| title_fullStr | Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape |
| title_full_unstemmed | Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape |
| title_short | Terrorism in Cyberspace : A Critical Review of Dark Web Studies under the Terrorism Landscape |
| title_sort | terrorism in cyberspace a critical review of dark web studies under the terrorism landscape |
| topic | terrorism cyberspace dark web deep web anonymity |
| url | https://dergipark.org.tr/tr/download/article-file/1817802 |
| work_keys_str_mv | AT edasonmez terrorismincyberspaceacriticalreviewofdarkwebstudiesundertheterrorismlandscape AT kezibanseckincodal terrorismincyberspaceacriticalreviewofdarkwebstudiesundertheterrorismlandscape |