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dc.contributor.authorGray, Andrewen_NZ
dc.contributor.authorSallis, Philipen_NZ
dc.contributor.authorMacDonell, Stephenen_NZ
dc.date.available2011-04-07T03:05:20Z
dc.date.copyright1997-12en_NZ
dc.identifier.citationGray, A., Sallis, P., & MacDonell, S. (1997). Software forensics: extending authorship analysis techniques to computer programs (Information Science Discussion Papers Series No. 97/14). University of Otago. Retrieved from http://hdl.handle.net/10523/872en
dc.identifier.urihttp://hdl.handle.net/10523/872
dc.descriptionPlease note that this is a searchable PDF derived via optical character recognition (OCR) from the original source document. As the OCR process is never 100% perfect, there may be some discrepancies between the document image and the underlying text.en_NZ
dc.description.abstractThe number of occurrences and severity of computer-based attacks such as viruses and worms, logic bombs, trojan horses, computer fraud, and plagiarism of code have become of increasing concern. In an attempt to better deal with these problems it is proposed that methods for examining the authorship of computer programs are necessary. This field is referred to here as software forensics. This involves the areas of author discrimination, identification, and characterisation, as well as intent analysis. Borrowing extensively from the existing fields of linguistics and software metrics, this can be seen as a new and exciting area for forensics to extend into.en_NZ
dc.format.mimetypeapplication/pdf
dc.publisherUniversity of Otagoen_NZ
dc.relation.ispartofseriesInformation Science Discussion Papers Seriesen_NZ
dc.subjectauthorship analysisen_NZ
dc.subjectcomputer programmingen_NZ
dc.subjectmalicious programsen_NZ
dc.subjectsoftware forensicsen_NZ
dc.subjectsoftware metricsen_NZ
dc.subjectsource codeen_NZ
dc.subject.lcshQA76 Computer softwareen_NZ
dc.titleSoftware forensics: extending authorship analysis techniques to computer programsen_NZ
dc.typeDiscussion Paperen_NZ
dc.description.versionUnpublisheden_NZ
otago.bitstream.pages10en_NZ
otago.date.accession2011-01-18 19:42:46en_NZ
otago.schoolInformation Scienceen_NZ
otago.openaccessOpen
otago.place.publicationDunedin, New Zealanden_NZ
dc.identifier.eprints1048en_NZ
otago.school.eprintsSoftware Metrics Research Laboratoryen_NZ
otago.school.eprintsInformation Scienceen_NZ
dc.description.referencesGray, A.R., Sallis, P.J., and MacDonell. S.G. (1998). IDENTIFIED (Integrated Dictionary-based Extraction of Non-language-dependent Token Information for Forensic Identification, Examination, and Discrimination): A dictionary-based system for extracting source code metrics for software forensics. Submitted to SE:E&P’98 Software Engineering: Education & Practice. Dunedin. New Zealand. Kilgour, R.I., Gray, A.R., Sallis, P.J., and MacDonell, S.G. (1997). A Fuzzy Logic Approach to Computer Software Source Code Authorship Analysis. Accepted for The Fourth International Conference on Neural Information Processing -- The Annual Confrence of the Asian Pacific Neural Network Assembly (ICONIP’97). Dunedin. New Zealand. Longstaff, T.A., and Schultz, E.E. (1993). Beyond Preliminary Analysis of the WANK and OILZ Worms: A Case Study of Malicious Code. Computers & Security. 12:61-77. Sallis, P.J. (1994). Contemporary Computing Methods for the Authorship Characterisation Problem in Computational Linguistics. New Zealand Journal of Computing. 5(1):85-95. Sallis P., Aakjaer, A., and MacDonell, S. (1996). Software Forensics: Old Methods for a New Science. SE:E&P’96 (Software Engineering: Education & Practice). Dunedin. New Zealand. IEEE Computer Society Press. 367-371. Spafford, E.H. (1989). The Internet Worm Program: An Analysis. Computer Communications Review. 19(1):17- 49. Spafford, E.H., and Weeber, S.A. (1993). Software Forensics: Can we track Code to its Authors? Computers & Security. 12:585-595. Whale, G. (1990). Software Metrics and Plagiarism Detection. Journal of Systems and Software. 13:131-138.en_NZ
otago.relation.number97/14en_NZ
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