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Securing digital data in the process of retrieving financial information can be seen as important requirement today.This paper focuses on developing a secure encryption (SE) scheme that supports efficient querying on encrypted data in financial databases.The core of the proposed scheme is the design of a specially encrypted index vector that works as a representative for the digital data.This index has high security, supporting the range query mechanisms without revealing any information about the plaintext data or the query pattern.Additionally, the querying performance of the scheme can be seen as the strong proposed point, as the comparison functions on the encrypted index vectors are designed to be minimalistic and do not return redundant records.Furthermore, the paper also proposes a DAS-Proxy model that allows for the effective and secure deployment of financial databases on any server system (in-house server, cloud server, etc.).
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