Functional Privacy-preserving Outsourcing Scheme with Computation Verifiability in Fog Computing

• Wenyi Tang1,
• Bo Qin,
• Yanan Li,
• Qianhong Wu,

Vol. 14, No. 1, January 31, 2020
10.3837/tiis.2020.01.016, Download Paper (Free):

• Data outsourcing
• Computation verifiability
• IoT security
• Fog Computing

Abstract

Fog computing has become a popular concept in the application of internet of things (IoT). With the superiority in better service providing, the edge cloud has become an attractive solution to IoT networks. The data outsourcing scheme of IoT devices demands privacy protection as well as computation verification since the lightweight devices not only outsource their data but also their computation. Existing solutions mainly deal with the operations over encrypted data, but cannot support the computation verification in the same time. In this paper, we propose a data outsourcing scheme based on an encrypted database system with linear computation as well as efficient query ability, and enhance the interlayer program in the original system with homomorphic message authenticators so that the system could perform computational verifying. The tools we use to construct our scheme have been proven secure and valid. With our scheme, the system could check if the cloud provides the correct service as the system asks. The experiment also shows that our scheme could be as effective as the original version, and the extra load in time is neglectable.

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