Agent architecture for criminal mobile devices identification systems
Current techniques of language identification are based on a method that assigns one or more textual documents into a set of predefined languages that are relevant to page contents. In this paper, we proposed an agent architecture that is used in criminal mobile devices identification systems. It is...
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2009
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Online Access: | http://eprints.utm.my/id/eprint/12945/ http://dx.doi.org/10.1007/978-3-642-03958-4_24 |
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my.utm.129452011-07-07T07:55:34Z http://eprints.utm.my/id/eprint/12945/ Agent architecture for criminal mobile devices identification systems Selamat, Ali Ng, Choon Ching Selamat, Md. Hafiz Bujang, S. D. A. QA76 Computer software Current techniques of language identification are based on a method that assigns one or more textual documents into a set of predefined languages that are relevant to page contents. In this paper, we proposed an agent architecture that is used in criminal mobile devices identification systems. It is based on the usage of a software agent to process at least one document by using a dictionary that belong to a set of languages in order to determine the type of language features to be used in the text preprocessing module. Then, the agent will map at least one of the documents with the content of the dictionary in order to identify the languages used in the text by the language identification agent. Finally, the digital forensic agent will check the potential criminal short messages through the predefined keyword repository of corresponding language. Form our experiments, the agent architecture has been able to identify correctly the types of languages written in the short text messaging (SMS) system. Elsevier 2009 Book Section PeerReviewed Selamat, Ali and Ng, Choon Ching and Selamat, Md. Hafiz and Bujang, S. D. A. (2009) Agent architecture for criminal mobile devices identification systems. In: Studies in Computational Intelligence. Elsevier, pp. 281-291. ISBN 978-364203957-7 http://dx.doi.org/10.1007/978-3-642-03958-4_24 DOI: 10.1007/978-3-642-03958-4_24 |
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QA76 Computer software Selamat, Ali Ng, Choon Ching Selamat, Md. Hafiz Bujang, S. D. A. Agent architecture for criminal mobile devices identification systems |
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Current techniques of language identification are based on a method that assigns one or more textual documents into a set of predefined languages that are relevant to page contents. In this paper, we proposed an agent architecture that is used in criminal mobile devices identification systems. It is based on the usage of a software agent to process at least one document by using a dictionary that belong to a set of languages in order to determine the type of language features to be used in the text preprocessing module. Then, the agent will map at least one of the documents with the content of the dictionary in order to identify the languages used in the text by the language identification agent. Finally, the digital forensic agent will check the potential criminal short messages through the predefined keyword repository of corresponding language. Form our experiments, the agent architecture has been able to identify correctly the types of languages written in the short text messaging (SMS) system.
|
format |
Book Section |
author |
Selamat, Ali Ng, Choon Ching Selamat, Md. Hafiz Bujang, S. D. A. |
author_facet |
Selamat, Ali Ng, Choon Ching Selamat, Md. Hafiz Bujang, S. D. A. |
author_sort |
Selamat, Ali |
title |
Agent architecture for criminal mobile devices identification systems |
title_short |
Agent architecture for criminal mobile devices identification systems |
title_full |
Agent architecture for criminal mobile devices identification systems |
title_fullStr |
Agent architecture for criminal mobile devices identification systems |
title_full_unstemmed |
Agent architecture for criminal mobile devices identification systems |
title_sort |
agent architecture for criminal mobile devices identification systems |
publisher |
Elsevier |
publishDate |
2009 |
url |
http://eprints.utm.my/id/eprint/12945/ http://dx.doi.org/10.1007/978-3-642-03958-4_24 |
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1643646075871952896 |
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13.211869 |