IDENTIFIED: software authorship analysis with case-based reasoning

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aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorSallis, PJ
dc.contributor.authorMacDonell, SG
dc.contributor.authorMacLennan, G
dc.contributor.authorGray, AR
dc.contributor.authorKilgour, RI
dc.date.accessioned2012-03-19T08:36:18Z
dc.date.available2012-03-19T08:36:18Z
dc.date.copyright1998
dc.date.issued1998
dc.description.abstractSoftware forensics is the use of authorship analysis techniques to analyse computer programs for a legal or official purpose. This generally consists of plagiarism detection and malicious code analysis. IDENTIFIED is a system that has been designed to assist with the extraction of count based metrics from source code, and with the development of models of authorship using statistical and machine learning approaches. Software forensic models can be used for identification, classification, characterisation, and intent analysis. One of the more promising methods for identification is case-based reasoning, where samples of code can be compared to those collected from known authors.
dc.identifier.citationProceedings of the Addendum Session of the Fourth International Conference on Neural Information Processing (ICONIP'97), Dunedin, New Zealand, pages 53 - 56
dc.identifier.urihttps://hdl.handle.net/10292/3496
dc.publisherAUT University
dc.publisherDBLP
dc.relation.urihttp://www.informatik.uni-trier.de/~ley/db/conf/iconip/index.html
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
dc.rights.accessrightsOpenAccess
dc.titleIDENTIFIED: software authorship analysis with case-based reasoning
dc.typeConference Contribution
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Computing & Mathematical Science
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing
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