Title :
A privacy-aware cloud service selection method toward data life-cycle
Author :
Li Lin ; Tingting Liu ; Jian Hu ; Jianbiao Zhang
Author_Institution :
Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
Abstract :
Recent years have witnessed the rapid development of cloud computing, which leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. However, a significant barrier to the adoption of cloud services is that users fear data leakage and loss of privacy if their sensitive data is processed in the cloud. Hence, the cloud customer must be able to select appropriate services according to his or her privacy and security needs. In this paper, we propose a novel cloud service selection method called PCSS, where a cloud service is estimated based on its capability of privacy protection (CoPP) covering the entire life-cycle of users´ data. A scalable assessment index system with a 2-level hierarchy structure is constructed to analyze and quantify the CoPP of cloud service. The first-level index is composed of all stages of data life-cycle and the second-level index involves privacy-aware security mechanisms at each stage. We employ a fuzzy comprehensive evaluation technique to count the privacy-preserving value of security mechanism. An AHP- based approach is exploited to decide the impact weight of different security mechanisms to the CoPP of each stage. By calculating a comprehensive CoPP metric of all life-cycle stages, all cloud services can be sorted and recommended to users. An example analysis is given, and the reasonableness of the proposed method is proved. Comprehensive experiments have been conducted, which demonstrate the effectiveness of the proposed method by the comparison with the baseline method at the service selection performance.
Keywords :
analytic hierarchy process; cloud computing; data privacy; fuzzy set theory; 2-level hierarchy structure; AHP- based approach; CoPP; PCSS; analytic hierarchy process; capability of privacy protection; cloud computing; cloud customer; data leakage; first-level index; fuzzy comprehensive evaluation technique; privacy loss; privacy-aware cloud service selection method; privacy-aware security mechanisms; privacy-preserving value; scalable assessment index system; second-level index; security needs; service selection performance; user data life-cycle; Data privacy; Filtering; Phase locked loops; Privacy; Security; cloud service selection; data life-cycle; privacy-aware;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2014 20th IEEE International Conference on
DOI :
10.1109/PADSW.2014.7097878