Title: PQsel: combining privacy with quality of service in cloud service selection

Authors: Li Lin; Tingting Liu; Jian Hu; Jian Ni

Addresses: College of Computer Science, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China; National Engineering Laboratory for Classified Information Security Protection, No. 100, Pingleyuan, Chaoyang District, Beijing, China ' College of Computer Science, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China ' College of Computer Science, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China ' College of Computer Science, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China

Abstract: Big data analytics and management often need to exploit the processing and storage power of cloud computing. It is obviously important to choose a cloud service with good quality. Meanwhile, users fear data leakage and loss of privacy if their sensitive data is processed in the cloud. In this paper, we propose a novel cloud service selection method, called PQsel, where a cloud service is estimated by colligating its capability of privacy protection (CoPP) and quality of service (QoS). Using a fuzzy comprehensive evaluation technique and AHP-based approach, we calculate the CoPP of each cloud service based on the CoPPs of security mechanisms covering the entire data life-cycle. Furthermore, QoS-driven approaches are introduced to support the privacy-aware cloud selection. An example analysis is given to prove the reasonableness of the proposed method. Comprehensive experiments have been conducted, which demonstrate the effectiveness of the proposed method.

Keywords: cloud services; service selection; privacy protection; privacy preservation; data life cycle; quality of service; QoS; analytical hierarchy process; AHP; fuzzy comprehensive evaluation; fuzzy logic.

DOI: 10.1504/IJBDI.2016.078411

International Journal of Big Data Intelligence, 2016 Vol.3 No.3, pp.202 - 214

Received: 11 Apr 2015
Accepted: 20 Oct 2015
Published online: 16 Aug 2016 *

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