User power consumption data sharing method and system based on privacy protection

Abstract

The invention discloses a user power consumption data sharing method and system based on privacy protection. The method comprises the following steps: a trusted authority generates an encrypted public key and a private key; a power data acquisition module acquires and encrypts the energy consumption data; a data aggregation module aggregates the encrypted data; a control center stores the aggregated energy consumption data; a platform user registers and obtains a symmetric key generated by the trusted mechanism; a platform user sends a service request, and when the control center receives the service request, the legality of the platform user is verified; if the platform user is legal, the data in the request range is aggregated on the ciphertext according to the service request, an aggregation value is decrypted through a private key, corresponding calculation is calculated according to the service type of the request, and response information is encrypted and transmitted by adopting a symmetric key of the platform user; and the platform user decrypts the response information by using the symmetric key to obtain the requested data. According to the invention, data sharing is realized without revealing privacy, and the method has the characteristics of rapid calculation and response.

Description

technical field [0001] The invention relates to the field of big data privacy protection, in particular to a privacy protection-based user electricity data sharing method and system. Background technique [0002] Smart grid is widely regarded as the next generation grid. With the help of advanced information and communication technologies, smart grid has been developed significantly in the past few decades. Different from the traditional grid, the smart grid brings more benefits, which can increase the intelligence and efficiency of power generation, transmission, distribution and consumption. [0003] In today's big data era, smart grid utilities are looking for new opportunities to create profits by mining the commercial value of power big data, such as energy consumption data, grid metering data, etc. However, in order to tap the commercial value of power big data, it is necessary to share sensitive data such as user energy consumption data with a framework for third-pa...

AI Technical Summary

Problems solved by technology

However, most of the above schemes focus on the privacy protection in the data transmission stage between the smart meter and the control center, while ignoring the privacy protection in the data sharing stage between the control center and the service requester.

[0005] In addition, the smart grid currently does not have a privacy-protected energy consumption data sharing platform to provide platform users with secure energy consumption data sharing services

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