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Issue title: Special section: Soft Computing and Intelligent Systems: Techniques and Applications
Guest editors: Sabu M. Thampi, El-Sayed M. El-Alfy and Ljiljana Trajkovic
Article type: Research Article
Authors: Rauthan, J.S.a; * | Vaisla, K.S.b
Affiliations: [a] Research Scholar, Computer Science & Engineering Department, Uttarakhand Technical University, Dehradun, Uttarakhand, India | [b] Professor, Computer Science & Engineering Department, Uttarakhand Technical University, Dehradun, Uttarakhand, India
Correspondence: [*] Corresponding author. J.S. Rauthan, Research Scholar, Computer Science & Engineering Department, Uttarakhand Technical University, Dehradun, Uttarakhand, India. E-mail: jsrauthan1@gmail.com.
Abstract: This paper presents the core algorithms behind DB-Query-Encryption, a proposal that supports private information retrieval (PIR) explorations. DB-Query-Encryption permits users for selectively retrieve information from a cloud database whereas keeping sensitive data terms secretive. As an example use case, a medical research institute may, as part of a sensitive data exploration, requisite to look up facts about an individual person from a cloud database deprived of reveling the person’s identity. The basic idea behind DB-Query-Encryption is to uses homomorphic encryption, which allows the cloud server to fulfill this request, whereas making it infeasible for the database owner (or a hacker who might compromised) to conclude the name being explored for, either which records are retrieved. The query, which retrieved the information, still secretive even if the spectator be able to search all the data over the cloud server and all the actions as they are being executed. Within that period, the query response produced by the cloud server is considerable smaller than the whole cloud database, making it more convenient when it is not feasible or appropriate for the user to transfer the entire database.
Keywords: Cloud database, homomorphic encryption, privacy, sensitive information retrieval, information security
DOI: 10.3233/JIFS-179730
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 6495-6505, 2020
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