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dc.contributor.advisorYoung, Joel D.
dc.contributor.advisorGarfinkel, Simson L.
dc.contributor.authorMcCarrin, Michael R.
dc.dateJun-13
dc.date.accessioned2013-08-01T16:51:46Z
dc.date.available2013-08-01T16:51:46Z
dc.date.issued2013-06
dc.identifier.urihttp://hdl.handle.net/10945/34704
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractCryptographic hashes are commonly used to aid in the examination of digital evidence by providing a method of rapidly identifying targeted content (e.g., incriminating materials) in large quantities of data. Because only exact matches can be detected, this method is easily defeated by even the smallest modification to the data. Approximate matching techniques maintain nearly the speed and space efficiency advantages of cryptographic hashes, while offering a more robust scheme for detecting similar objects. We seek to validate design choices in sdhash, the current state-of-the-art approximate matching algorithm, and suggest alternatives where appropriate. In addition, we clarify various nuances regarding the interpretation of its output so that it can be more effectively applied to forensic analysis. To this end, we provide a detailed analysis of sdhash’s behavior across a variety of relevant scenarios using the FRASH testing framework, and propose strategies for extracting more relevant and granular feedback.en_US
dc.description.urihttp://archive.org/details/explorationndval1094534704
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleExploration and validation of the sdhash parameter spaceen_US
dc.contributor.departmentComputer Science
dc.subject.authorDigital Forensicsen_US
dc.subject.authorDigital Fingerprintingen_US
dc.subject.authorApproximate Matchingen_US
dc.subject.authorFuzzy Hashingen_US
dc.subject.authorSimilarity Digestsen_US
dc.subject.authorsdhashen_US
dc.subject.authorFRASHen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceCivilian, Department of the Navyen_US
etd.thesisdegree.nameMaster of Scienceen_US
etd.thesisdegree.nameMaster of Science in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US


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