A method and system for sharing user electricity consumption data based on privacy protection

Abstract

The invention discloses a user electricity data sharing method and system based on privacy protection. The method includes: a trusted organization generates an encrypted public key and a private key; the power data collection module collects and encrypts energy consumption data; the data aggregation module aggregates the encrypted data; the control center stores the aggregated energy consumption data; Platform users register and obtain symmetric keys generated by trusted institutions; platform users send service requests, and when the control center receives the service requests, they verify the legitimacy of platform users; After aggregation on the ciphertext, the aggregated value is decrypted by the private key, and the corresponding calculation is performed according to the requested service type, and then the response information is encrypted and sent using the platform user's symmetric key; the platform user uses the symmetric key to decrypt the response information to obtain the requested The data. The invention realizes data sharing without leaking privacy, and has the characteristics of fast calculation and response.

Description

technical field [0001] The invention relates to the field of big data privacy protection, in particular to a method and system for sharing user electricity consumption data based on privacy protection. Background technique [0002] Smart grids are widely considered to be the next generation of power grids. With the help of advanced information and communication technologies, smart grids have been significantly developed over the past few decades. Unlike traditional grids, smart grids bring additional benefits that can increase intelligence and efficiency in 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, and more. However, in order to mine the commercial value of electric power big data, it is necessary to share sensitive data such as user energy consu...

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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