| Title |
Secure Data Set Operation Protocols for Outsourced Cloud Data to Protect User Privacy in Smart City |
| ID_Doc |
38580 |
| Authors |
Zhao, KY; Wang, XA; Liu, JS; Qiao, Y; Zhou, Y |
| Title |
Secure Data Set Operation Protocols for Outsourced Cloud Data to Protect User Privacy in Smart City |
| Year |
2021 |
| Published |
Journal Of Circuits Systems And Computers, 30, 15 |
| Abstract |
With the rapid development of information technology, internet of things, cloud computing, digital networks and 5G have become an indispensable part of our life. Due to the development of these cutting-edge digital technologies, smart cities now have become a reality. During the development of smart cities, many different sensing devices of the cities would generate lots of data. To smoothly use the massive data, the paradigm of cloud computing will be deployed by smart cities, these data will be efficiently stored and processed by the cloud servers. However, the security of data in smart cities should be guaranteed, especially for the privacy protection of data. Aiming at securely managing cloud data in smart cities, this paper proposes a set of secure cloud data computing protocols for set operations based on the Paillier encryption system. For the rational numbers which are very common in smart cities, we design a coding technology to realize the secure homomorphic computation of them. We also verify the security and correctness of our protocols through rigorous mathematical proof, and demonstrate the efficiency of our solutions by performance analysis. |
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