Statistical analysis method for secret key leakage resisting encrypted data aggregation in smart power grid

Abstract

The invention discloses a statistical analysis method for secret key leakage resisting encrypted data aggregation in a smart power grid. Each user area is responsible for one fog node; the fog node serves as a data aggregation gateway and a data repeater; user electric energy consumption data sent by an intelligent electric meter in a user area is aggregated for the first time by a fog node to obtain a fog-level aggregation ciphertext, the fog-level aggregation ciphertext is signed, and then the fog-level aggregation ciphertext and signature information are sent to a cloud server to be stored;the cloud server stores the aggregated ciphertext data and the signature information of different user areas in a database; data query, statistics and analysis services are provided for a control center of the intelligent power grid system; the cloud server can provide enough information for the control center on the premise of not destroying the privacy of any single user, so that the control center can calculate the sum, average value and variance of power consumption data of all users in a specified user area by utilizing the information.

Description

technical field [0001] The invention belongs to the field of smart grid big data analysis and information security assurance, and in particular relates to a statistical analysis method for anti-key leakage encrypted data aggregation in a smart grid. Background technique [0002] The smart grid introduces some emerging information technologies, such as cloud computing, artificial intelligence, cryptography, etc., on the basis of the traditional power grid system, and establishes an advanced energy measurement infrastructure (Advanced Metering Infrastructure, AMI) on the traditional power transmission network. , for two-way transmission of power consumption data of grid users and control instructions and electricity price information fed back by the smart grid control center. The core of AMI is an embedded device called a smart meter, which is installed in the home of grid users to periodically collect power data and report it to the control center. Various data analysis tech...

AI Technical Summary

Problems solved by technology

In 2012, Lu et al. proposed a smart grid-oriented data aggregation protocol using the Paillier homomorphic encryption algorithm. In their scheme, a super-incremental sequence was combined with an encryption algorithm to achieve multi-type data aggregation, but for To ensure data integrity, the aggregation gateway node needs to perform multiple time-consuming bilinear mapping operations, which leads to a large computational overhead of the protocol, which is not suitable for some systems with high real-time requirements

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