Equivalent query method for lightweight privacy protection

Abstract

The invention relates to an equivalent query method for lightweight privacy protection, which comprises four roles, namely a key center, IoT equipment, an edge server and an authorized user. The secret key center executes initialization operation, public parameters are disclosed, and a main secret key is stored by the secret key center; the secret key center executes a secret key generation operation, generates a secret key and distributes the secret key to other roles; the IoT equipment encrypts own data and then outsources the encrypted data to the edge server; the edge server re-encrypts the data and then stores the data; the authorized user sends a query request to the edge server; the edge server returns a query result in response to the query request; and finally, the authorized userdecrypts the query result returned by the server to obtain plaintext data. According to the method, proxy re-encryption is realized based on elliptic curve cryptography, and an efficient and safe query scheme in edge computing is effectively constructed. Compared with the prior art, the privacy of outsourcing data can be guaranteed, meanwhile, the calculation expenditure in the encryption and decryption process is reduced, and the method is more suitable for edge equipment with weak calculation and storage capacity.

Description

technical field [0001] The technology relates to the field of network security, in particular to a lightweight privacy-protected equivalent query method. Background technique [0002] With the development of cloud computing and the popularization of Internet of Things applications, a large number of sensing devices have exploded, such as smartphones, wearable devices, smart home appliances, etc., which generate a large amount of sensing data from the physical world. According to the Cisco Global Cloud Index (GCI), the data generated by IoT devices, personnel, and machines will exceed 500ZB by 2020. Although traditional centralized cloud computing can use its powerful computing power to process large amounts of data, network congestion and delay may occur for some sensitive data that needs to be processed in real time. The emergence of edge computing has solved this problem very well. In edge computing, most of the computation is done close to the source of the data. Edge ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the defects in the above-mentioned background technology and the hidden safety problems caused by it, the present invention aims to provide a light-weight privacy-protected equivalent query method

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