A systematic literature review for topic detection in chat conversation for cyber-­crime investigation

Facebook, Twitter, Yahoo Messenger and Skype are the most popular social networking sites used for chatting. Normally, users use the chat conversation to communicate to another person, besides exchanging ideas and discussion. Recently, there are quite a number of cyber criminal committed crime using...

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Main Authors: Husin, Norzihan, Abdullah @ Selimun, Mohd Taufik, Mahmod, Ramlan
Format: Article
Language:English
Published: Advanced Institute of Convergence Information Technology 2014
Online Access:http://psasir.upm.edu.my/id/eprint/36298/1/A%20systematic%20literature%20review%20for%20topic%20detection%20in%20chat%20conversation%20for%20cyber.pdf
http://psasir.upm.edu.my/id/eprint/36298/
http://www.aicit.org/jdcta/global/paper_detail.html?jname=JDCTA&q=3657
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spelling my.upm.eprints.362982015-09-10T07:03:34Z http://psasir.upm.edu.my/id/eprint/36298/ A systematic literature review for topic detection in chat conversation for cyber-­crime investigation Husin, Norzihan Abdullah @ Selimun, Mohd Taufik Mahmod, Ramlan Facebook, Twitter, Yahoo Messenger and Skype are the most popular social networking sites used for chatting. Normally, users use the chat conversation to communicate to another person, besides exchanging ideas and discussion. Recently, there are quite a number of cyber criminal committed crime using chat conversation, such as money fraud, sex harassment, cyber bully and murder. Therefore, this systematic literature review (SLR) is carried out to investigate the existing research in chat forensics area. SLR is a form of evidence based approach applied for a systematic review. This SLR study carried out in this article to investigate about the topic detection study in chat forensics area. The method used is based on SLR guidelines, which include defining the research question, search process, inclusion and exclusion criteria in the study, quality assessment, data collection, data analysis and deviations from protocol. The results show that the total number of publications found is 56 and the number of selected publication used for review is only nine. However, the number of publication which specifically done for chat forensics area is only three while for topic classification in chat message is six. Thus, the number of studies for topic detection in chat forensics are considered limited. The nine selected articles were used to investigate the quality factor for each articles, besides to find out the proposed techniques, the limitation and the future works that could be done from the existing studies. Advanced Institute of Convergence Information Technology 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36298/1/A%20systematic%20literature%20review%20for%20topic%20detection%20in%20chat%20conversation%20for%20cyber.pdf Husin, Norzihan and Abdullah @ Selimun, Mohd Taufik and Mahmod, Ramlan (2014) A systematic literature review for topic detection in chat conversation for cyber-­crime investigation. International Journal of Digital Content Technology and its Applications, 8 (3). pp. 22-31. ISSN 1975-9339; ESSN: 2233-9310 http://www.aicit.org/jdcta/global/paper_detail.html?jname=JDCTA&q=3657
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Facebook, Twitter, Yahoo Messenger and Skype are the most popular social networking sites used for chatting. Normally, users use the chat conversation to communicate to another person, besides exchanging ideas and discussion. Recently, there are quite a number of cyber criminal committed crime using chat conversation, such as money fraud, sex harassment, cyber bully and murder. Therefore, this systematic literature review (SLR) is carried out to investigate the existing research in chat forensics area. SLR is a form of evidence based approach applied for a systematic review. This SLR study carried out in this article to investigate about the topic detection study in chat forensics area. The method used is based on SLR guidelines, which include defining the research question, search process, inclusion and exclusion criteria in the study, quality assessment, data collection, data analysis and deviations from protocol. The results show that the total number of publications found is 56 and the number of selected publication used for review is only nine. However, the number of publication which specifically done for chat forensics area is only three while for topic classification in chat message is six. Thus, the number of studies for topic detection in chat forensics are considered limited. The nine selected articles were used to investigate the quality factor for each articles, besides to find out the proposed techniques, the limitation and the future works that could be done from the existing studies.
format Article
author Husin, Norzihan
Abdullah @ Selimun, Mohd Taufik
Mahmod, Ramlan
spellingShingle Husin, Norzihan
Abdullah @ Selimun, Mohd Taufik
Mahmod, Ramlan
A systematic literature review for topic detection in chat conversation for cyber-­crime investigation
author_facet Husin, Norzihan
Abdullah @ Selimun, Mohd Taufik
Mahmod, Ramlan
author_sort Husin, Norzihan
title A systematic literature review for topic detection in chat conversation for cyber-­crime investigation
title_short A systematic literature review for topic detection in chat conversation for cyber-­crime investigation
title_full A systematic literature review for topic detection in chat conversation for cyber-­crime investigation
title_fullStr A systematic literature review for topic detection in chat conversation for cyber-­crime investigation
title_full_unstemmed A systematic literature review for topic detection in chat conversation for cyber-­crime investigation
title_sort systematic literature review for topic detection in chat conversation for cyber-­crime investigation
publisher Advanced Institute of Convergence Information Technology
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/36298/1/A%20systematic%20literature%20review%20for%20topic%20detection%20in%20chat%20conversation%20for%20cyber.pdf
http://psasir.upm.edu.my/id/eprint/36298/
http://www.aicit.org/jdcta/global/paper_detail.html?jname=JDCTA&q=3657
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score 13.159267