期刊
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
卷 4, 期 2, 页码 145-155出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSUSC.2017.2715038
关键词
Differential privacy; fog computing; data center; query model; Laplacian mechanism
类别
资金
- NSFC [61572262, 61533010, 61373135, 61571233, 61532013]
- National China 973 Project [2015CB352401]
- NSF of Jiangsu Province [BK20141427]
- Qinlan Project of Jiangsu Province
- China Postdoctoral Science Special Foundation
- Research Council of Norway [240079/F20]
- project Security in IoT for Smart Grids
- Norwegian Research Council [248113/O70]
With the increasing computation and storage capabilities of mobile devices, the concept of fog computing was proposed to tackle the high communication delay inherent in cloud computing, and also improve the security to some extent. This paper concerns with the privacy issue inherent in the sustainable fog computing platform. However, there is no universal solution to the privacy problem in fog computing due to the device heterogeneity. In this paper, we proposed a differential privacy-based query model for sustainable fog computing supported data center. We designed a method that can quantify the quality of privacy preserving through rigorous mathematical proof. The proposed method uses the query model to capture the structure information of the sustainable fog computing supported data center, and the datasets for the query result are mapped to real vectors. Then, we implemented the differential privacy preserving by injecting Laplacian noise. The experiment results demonstrated that the proposed method can effectively resist various popular privacy attacks, and achieve relatively high data utility under the premise of better privacy preserving.
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