Privacy-preserving biomedical data sharing and computation

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dc.contributor.authorMahdi, Md Safiur Rahman
dc.contributor.examiningcommitteeKai-Sang Leung, Carson (Computer Science) Ho, Carl (Electrical and Computer Engineering) Dara, Rozita (University of Guelph)en_US
dc.contributor.supervisorMohammed, Noman (Computer Science)en_US
dc.date.accessioned2020-09-08T17:19:59Z
dc.date.available2020-09-08T17:19:59Z
dc.date.copyright2020-08-14
dc.date.issued2020-08-14en_US
dc.date.submitted2020-08-14T16:10:40Zen_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractGenomic data is being produced rapidly by both individuals and enterprises and needs to be outsourced from local machines to a cloud for better flexibility. Outsourcing also eliminates the local storage management problem for data owners. However, sensitive data must be encrypted by data owners before outsourcing in the cloud to protect data privacy and security. Since genomic data is huge in volume, it is challenging to execute researchers’ queries securely and efficiently. In this thesis, I have developed various models for secure sharing and computation on genomic data in a third party cloud server. The security of the shared data is guaranteed through encryption while making the overall computation fast and scalable enough for real-life biomedical applications. In particular, I propose different methods for secure sharing and computation on genomic data such as secure count query, secure similar patients query, secure substring, and set-maximal search.en_US
dc.description.noteOctober 2020en_US
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dc.identifier.urihttp://hdl.handle.net/1993/34989
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectSecure data outsourcingen_US
dc.subjectComputation on encrypted dataen_US
dc.subjectBiomedical dataen_US
dc.subjectData privacyen_US
dc.subjectQuery privacyen_US
dc.subjectOutput privacyen_US
dc.subjectPrefix treeen_US
dc.subjectGeneralized Suffix treeen_US
dc.subjectGarbled circuiten_US
dc.titlePrivacy-preserving biomedical data sharing and computationen_US
dc.typedoctoral thesisen_US
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