Aggregation method and system supporting fault tolerance and resisting differential attacks in smart power grid

Abstract

The invention discloses an aggregation method and system supporting fault tolerance and resisting differential attacks in a smart power grid. According to the method, a smart electric meter is used for recording and reporting the power consumption of users in real time; a control center is responsible for collecting, processing and analyzing real-time power consumption data of the users; a gateway is responsible for data aggregation; a trusted center is responsible for the whole system. Main modules include a system initialization module, a data aggregation request module, a data aggregation request relay module, a user data reporting module, a security data aggregation module and an aggregated data recovery module. A security data aggregation system is realized and is used for protecting power consumption privacy of the users, preventing a vicious external attacker and an electric energy control center from abusing authority and effectively resisting malicious software instrumentation and attacks; since an auxiliary ciphertext is introduced, physical and communication fault tolerance is achieved, and it is guaranteed that the power consumption data of the users can still automatically aggregate and be reported successfully on the condition that a part of the power consumption data fails to be reported.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to an aggregation method and system for supporting fault tolerance and anti-differential attack in smart grids. Background technique [0002] In the field of smart grid technology, Elaine Shi et al. proposed a data aggregation scheme that can protect users' privacy and prevent power control centers from abusing their rights. By introducing distributed blind factor secret information, each user submits encrypted personal power consumption using their own blind factor. On the premise of the quantity, through the blinding factor and secret information it has mastered, deblinding and decryption, so as to obtain the total power consumption of the user. However, the system designed in this way cannot be technically extended to support fault-tolerant application environments. Moreover, the system simply implements Differential privacy security. Each user joins the d...

AI Technical Summary

Problems solved by technology

However, in the actual system operation, the number of users who may have physical failures and communication errors cannot be preset, because failures are highly accidental and random

Therefore, in most cases, the availability of the system is very low, and it is impossible to add appropriate noise information that meets the security requirements of differential privacy according to the specific situation.

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