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dc.contributor.advisorSingh, Priyanka
dc.contributor.authorJain, Mishel
dc.date.accessioned2022-05-06T20:02:06Z
dc.date.available2023-02-24T20:02:06Z
dc.date.issued2021
dc.identifier.citationJain, Mishel (2021). SHELBRS: Location-Based Recommendation Services using Switchable Homomorphic Encryption. Dhirubhai Ambani Institute of Information and Communication Technology. viii, 31 p. (Acc.No: T00977)
dc.identifier.urihttp://drsr.daiict.ac.in//handle/123456789/1040
dc.description.abstractLocation-Based Recommendation Services (LBRS) has seen an unprecedented rise in its usage in recent years. LBRS facilitates a user by recommending services based on his location and past preferences. However, leveraging such services comes at a cost of compromising one’s sensitive information like their shopping preferences, lodging places, food habits, recently visited places, etc. to the thirdparty servers. Losing such information could be crucial and threatens one’s privacy. Nowadays, the privacy-aware society seeks solutions that can provide such services, with minimized risks. Recently, a few privacy-preserving recommendation services have been proposed that exploit the Fully Homomorphic Encryption (FHE) properties to address the issue. Though, it reduced privacy risks but suffered from heavy computational overheads that ruled out their commercial applications. Here, we propose SHELBRS, a lightweight LBRS that is based on Switchable Homomorphic Encryption (SHE), which will benefit the users as well as the service providers. A SHE exploits both the additive as well as the multiplicative homomorphic properties but with comparatively much lesser processing time as it’s FHE counterpart. The performance of our proposed scheme is analyzed with the other state-of-the-art approaches without compromising security
dc.subjectHomomorphic Encryption
dc.subjectShopping preferences
dc.subjectLodging places
dc.subjectFood habits
dc.classification.ddc004 JAI
dc.titleSHELBRS: Location-Based Recommendation Services using Switchable Homomorphic Encryption
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201911052
dc.accession.numberT00977


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