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dc.contributor.advisorRowe, Neil C.
dc.contributor.authorJohnson, Jennifer M.
dc.dateSep-17
dc.date.accessioned2017-11-07T23:39:40Z
dc.date.available2017-11-07T23:39:40Z
dc.date.issued2017-09
dc.identifier.urihttp://hdl.handle.net/10945/56140
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractWe used MongoDB and created a database of each disk image and each unique sector found in the Real Data Corpus--a collection of disk images held by the Digital Evaluation and Exploitation Lab. Using a partial database, we found the fraction of space that is empty (contains NULLS) per secondary-storage image and for the entire database. We found duplicate images. We also characterized some of the non-probative sectors found in our database. Future students may benchmark other databases and shard the database.en_US
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, it may not be copyrighted.en_US
dc.titleDatabase creation and statistical analysis: finding connections between two or more secondary storage devicesen_US
dc.typeThesisen_US
dc.contributor.secondreaderMcCarrin, Michael R.
dc.contributor.departmentComputer Science (CS)
dc.subject.authordigital forensicsen_US
dc.subject.authorsector hashingen_US
dc.subject.authorcommon blocksen_US
dc.subject.authorhash databasesen_US
dc.description.serviceCivilian, Department of Defenseen_US
etd.thesisdegree.nameMaster of Science in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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