Research

Scientific Transactions in Environment and Technovation Journal(STET), 07 Dec 2018 | 10.20894/STET.116.011.002.010
Year : 2017 | Volume: 11 | Issue: 2 | Pages : 111-116

Constraints based privacy preserving framework for Semantically Secure Encrypted Relational Data

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The need of privacy in the cloud world is necessary for the mobile users for their personal information has been stored
in the distributed mobile servers. The development of smart phones and the advance of wireless Body Sensor Networks
(BSNs), mobile Healthcare (Healthcare), which extends the operation of Healthcare provider into a pervasive environment
for better health monitoring, has attracted considerable interest recently. The flourish of Healthcare still faces many
challenges including information security and privacy preservation. In this paper, Multiple Attribute Based Secure and
Privacy-Preserving Opportunistic Computing Framework (MASPOC) toper form the better Health care cloud relational
classification over relational data, smart phone resources including computing power and energy can be opportunistically
gathered to process the computing-intensive Personal Health Information (PHI) during Healthcare emergency with
minimal privacy disclosure.
This technique is to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in
Healthcare emergency, it introduce an efficient user-centric privacy access control in MASPOC framework, which is
based on an attribute-based access control and a new OTP based Privacy-Preserving Scalar Product Computation
(PPSPC) technique, and allows a medical user to decide who can participate in the opportunistic computing to assist in
processing his overwhelming PHI data. Detailed security analysis shows that the proposed MASPOC framework can
efficiently achieve user-centric privacy access control in Healthcare emergency. In addition, performance evaluations
via extensive simulations demonstrate the MASPOC’s effectiveness in term of providing high-reliable-PHI process and
transmission while minimizing the privacy disclosure during Healthcare emergency

Keywords: Healthcare Privacy, classification, Opportunistic Computing

Citation: *, ( 2017), Constraints based privacy preserving framework for Semantically Secure Encrypted Relational Data. Scientific Transactions in Environment and Technovation Journal(STET), 11(2): 111-116

Received: 05/11/2016; Accepted: 12/06/2017;
Published: 15/12/2017

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Reviewed by:

*Correspondence: unknow user, unknow user