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- Publisher Website: 10.1007/978-3-642-55415-5_28
- Scopus: eid_2-s2.0-84926463173
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Conference Paper: Authorship attribution for forensic investigation with thousands of authors
Title | Authorship attribution for forensic investigation with thousands of authors |
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Authors | |
Issue Date | 2014 |
Publisher | Springer New York LLC. The Journal's web site is located at http://www.springer.com/series/6102 |
Citation | The 29th IFIP TC 11 International Information Security and Privacy Conference (SEC 2014), Marrakech, Morocco, 2-4 June 2014. In IFIP Advances in Information and Communication Technology, 2014, v. 428, p. 339-350 How to Cite? |
Abstract | With the popularity of computer and Internet, a growing number of criminals have been using the Internet to distribute a wide range of illegal materials and false information globally in an anonymous manner, making criminal identity tracing difficult in the cybercrime investigation process. Consequently, automatic authorship attribution of online messages becomes increasingly crucial for forensic investigation. Although researchers have got many achievements, the accuracies of authorship attribution with tens or thousands of candidate are still relatively poor which is generally among 20%40%, and cannot be used as evidence in forensic investigation. Instead of asserting that a given text was written by a given user, this paper proposes a novel authorship attribution model combining both profile-based and instance-based approaches to reduce the size of the candidate authors to a small number and narrow the scope of investigation with a high level of accuracy. To evaluate the effectiveness of our model, we conduct extensive experiments on a blog corpus with thousands of candidate authors. The experimental results show that our algorithm can successfully output a small number of candidate authors with high accuracy. |
Description | This series vol. entitled: ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International Conference, SEC 2014 ... Proceedings |
Persistent Identifier | http://hdl.handle.net/10722/203660 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.242 |
DC Field | Value | Language |
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dc.contributor.author | Yang, M | en_US |
dc.contributor.author | Chow, KP | en_US |
dc.date.accessioned | 2014-09-19T15:49:11Z | - |
dc.date.available | 2014-09-19T15:49:11Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | The 29th IFIP TC 11 International Information Security and Privacy Conference (SEC 2014), Marrakech, Morocco, 2-4 June 2014. In IFIP Advances in Information and Communication Technology, 2014, v. 428, p. 339-350 | en_US |
dc.identifier.isbn | 978-3-642-55414-8 | - |
dc.identifier.issn | 1868-4238 | - |
dc.identifier.uri | http://hdl.handle.net/10722/203660 | - |
dc.description | This series vol. entitled: ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International Conference, SEC 2014 ... Proceedings | - |
dc.description.abstract | With the popularity of computer and Internet, a growing number of criminals have been using the Internet to distribute a wide range of illegal materials and false information globally in an anonymous manner, making criminal identity tracing difficult in the cybercrime investigation process. Consequently, automatic authorship attribution of online messages becomes increasingly crucial for forensic investigation. Although researchers have got many achievements, the accuracies of authorship attribution with tens or thousands of candidate are still relatively poor which is generally among 20%40%, and cannot be used as evidence in forensic investigation. Instead of asserting that a given text was written by a given user, this paper proposes a novel authorship attribution model combining both profile-based and instance-based approaches to reduce the size of the candidate authors to a small number and narrow the scope of investigation with a high level of accuracy. To evaluate the effectiveness of our model, we conduct extensive experiments on a blog corpus with thousands of candidate authors. The experimental results show that our algorithm can successfully output a small number of candidate authors with high accuracy. | - |
dc.language | eng | en_US |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://www.springer.com/series/6102 | en_US |
dc.relation.ispartof | IFIP Advances in Information and Communication Technology | en_US |
dc.rights | The original publication is available at www.springerlink.com | en_US |
dc.title | Authorship attribution for forensic investigation with thousands of authors | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Chow, KP: chow@cs.hku.hk | en_US |
dc.identifier.authority | Chow, KP=rp00111 | en_US |
dc.identifier.doi | 10.1007/978-3-642-55415-5_28 | en_US |
dc.identifier.scopus | eid_2-s2.0-84926463173 | - |
dc.identifier.hkuros | 240129 | en_US |
dc.identifier.volume | 428 | en_US |
dc.identifier.spage | 339 | en_US |
dc.identifier.epage | 350 | en_US |
dc.publisher.place | United States | en_US |
dc.identifier.issnl | 1868-4238 | - |