A multi-type and multi-dimensional data aggregation method for secure smart grid

Abstract

The present invention is a multi-type and multi-dimensional data aggregation method and system oriented to a safe smart grid. The trusted authority is responsible for managing and distributing the secret information of the system; the control center is responsible for integrating, processing and analyzing power consumption data; and the power transmission center is responsible for management Transmission network; the power distribution center is responsible for managing the power distribution network; the power supplier is responsible for providing a competitive power retail market; the gateway is responsible for connecting the control center and the power consumption side, and aggregating power consumption; the perception network is responsible for real-time collection The electricity consumption data is reported to the control center. The specific steps include the system initialization stage; the data encryption stage; the data aggregation stage; the data re-encryption and access control stage; the data decryption and data recovery stage. The present invention researches and designs a multi-user multi-dimensional data aggregation method that simultaneously ensures the confidentiality and integrity of communication data, protects user privacy, and performs security authentication on communication source entity identities.

Description

Technical field [0001] The present invention relates to multi-type cube polymerization method and a system for secure smart grid. Background technique [0002] Related scholar smart grid communications system for privacy protection, data aggregation based on a variety of proposed solutions. In the prior data aggregation, the intermediate layer is required to decrypt the data received, its aggregate functions polymerization, and the polymerization results again encrypted before forwarding. When the intermediate node is not trusted, the process is quite complex and dangerous. Castelluccia et al homomorphic encryption technology employed, and the polymerization was designed encryption scheme is provably secure, encrypted data is achieved in case where the intermediate node without decrypting the efficient polymerization of the program by expanding the data bits in the encryption operation, improved computing and communication efficiency. Westhoff et al noted above scheme forced tran...

AI Technical Summary

Problems solved by technology

Deploy and manage thousands of keys for thousands of users and gateways in a smart grid with low operability

Also, once some users fail to report electricity usage data for certain time periods, the control center cannot recover the data with the proper shared key

These previous research work mainly focused on single-dimensional data, how to design a safe and efficient multi-user multi-dimensional data aggregation scheme is still a highly challenging research topic

(1) First of all, in the smart grid, each user has electricity consumption data in multiple dimensions. These data types are diverse and large in scale. Homomorphic encryption of each dimension data requires a lot of computing work, which will greatly increase the number of ciphertexts. calculation and communication costs; (2) Secondly, reliability is also a very important research topic. Since the smart grid system involves many participating entities, the system structure is complex, and the energy flow and information flow are integrated. Therefore, the existing single-dimensional data cannot be The aggregation scheme is simply extended to a multi-user multi-dimensional data aggregation scheme; (3) Thirdly, with the popularization and application of smart grid, it is urgent to ensure the privacy security of all parties involved. Research on the privacy security of power supply retail service providers; (4) Finally, the smart grid is a typical physical-information fusion system. Existing research and solutions do not focus on the physical layer power energy flow, information layer data flow, and fusion layer control flow. Carry out comprehensive bionic simulation and algorithm modeling to meet the needs of practical applications

Therefore, there is a lack of data aggregation methods and application systems that are suitable for the safe and efficient aggregation of multi-user multi-dimensional data in smart grids, while protecting user privacy, ensuring the confidentiality and integrity of communication data, and performing security authentication on the identity of communication source entities, so as to ensure smart grid information. Safety

Images