A Statistical Analysis Method for Encrypted Data Aggregation Resistant to Key Leakage in Smart Grid

Abstract

The invention discloses a statistical analysis method for encrypted data aggregation against key leakage in a smart grid. Each user area is in charge of a fog node, and the fog node acts as a data aggregation gateway and a data repeater. The user energy consumption data sent by the smart meter is first aggregated by the fog nodes to obtain the fog-level aggregated ciphertext, and the fog-level aggregated ciphertext is signed, and then the fog-level aggregated ciphertext and signature information are sent to the cloud server for processing. Storage; the cloud server stores the aggregated ciphertext data and signature information of different user areas in the database, and provides data query, statistics, and analysis services to the control center of the smart grid system. Provide enough information to the control center under the premise, so that the control center can use the information to calculate the sum, average and variance of the electricity consumption data of all users in the designated user area.

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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