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Conference Paper: Authorship attribution for forensic investigation with thousands of authors

TitleAuthorship attribution for forensic investigation with thousands of authors
Authors
Issue Date2014
PublisherSpringer 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?
AbstractWith 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.
DescriptionThis series vol. entitled: ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International Conference, SEC 2014 ... Proceedings
Persistent Identifierhttp://hdl.handle.net/10722/203660
ISBN
ISSN
2015 SCImago Journal Rankings: 0.160

 

DC FieldValueLanguage
dc.contributor.authorYang, Men_US
dc.contributor.authorChow, KPen_US
dc.date.accessioned2014-09-19T15:49:11Z-
dc.date.available2014-09-19T15:49:11Z-
dc.date.issued2014en_US
dc.identifier.citationThe 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. 339-350en_US
dc.identifier.isbn978-3-642-55414-8-
dc.identifier.issn1868-4238-
dc.identifier.urihttp://hdl.handle.net/10722/203660-
dc.descriptionThis series vol. entitled: ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International Conference, SEC 2014 ... Proceedings-
dc.description.abstractWith 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.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://www.springer.com/series/6102en_US
dc.relation.ispartofIFIP Advances in Information and Communication Technologyen_US
dc.rightsThe original publication is available at www.springerlink.comen_US
dc.titleAuthorship attribution for forensic investigation with thousands of authorsen_US
dc.typeConference_Paperen_US
dc.identifier.emailChow, KP: chow@cs.hku.hken_US
dc.identifier.authorityChow, KP=rp00111en_US
dc.identifier.doi10.1007/978-3-642-55415-5_28en_US
dc.identifier.hkuros240129en_US
dc.identifier.volume428en_US
dc.identifier.spage339en_US
dc.identifier.epage350en_US
dc.publisher.placeUnited Statesen_US

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