A SECURE APPROACH TO FINANCIAL DATA MANAGEMENT: A METHOD FOR CONSTRUCTING ENCRYPTED INDEXES TO SUPPORT EFFICIENT QUERYING WITHOUT REVEALING ORDER INFORMATION

Abstract

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.).