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Project saya : tamper proof temporal provenance storage platform

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dc.contributor.author Siddiqui, Sahar
dc.contributor.author Mehta, Sameep (Advisor)
dc.contributor.author Kumaraguru, Ponnurangam (Advisor)
dc.date.accessioned 2018-09-25T09:47:33Z
dc.date.available 2018-09-25T09:47:33Z
dc.date.issued 2017-04-18
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/691
dc.description.abstract In the era of big data where every individual is a target of intensive data collection, there is a need to create technological tools that empower individuals to track what happens to their data. Provenance has been studied extensively in both database and workow management systems, so far with little focus on text-retrieval based workows with user defined operators. Such kind of workow provenance aims to capture a complete description of evaluation (or enactment) of a workow, and this is crucial to this problem of personal data use. As an initial step to solving this problem, the work presented in this report aims at developing our own tamper proof temporal provenance storage platform and query based model that can track, store and analyze data transformations. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Privacy en_US
dc.subject Information retrieval en_US
dc.subject Text retrieval en_US
dc.subject Provenance en_US
dc.subject Data lineage, en_US
dc.subject Query model en_US
dc.title Project saya : tamper proof temporal provenance storage platform en_US
dc.type Other en_US

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