Smart power grid aggregation method and system for differential privacy security and fault tolerance

Abstract

The invention discloses a smart power grid aggregation method and system for differential privacy security and fault tolerance. The method comprises the steps that a smart electric meter records and reports the electricity consumption of users in real time; a control center is responsible for collecting, processing and analyzing real-time electricity consumption data; a gateway is responsible for instruction delivery, data aggregation and security transmission between the control center and the users; a credible center is responsible for managing the whole system, and main function modules include a system initialization function module, a data aggregation request function module, a data aggregation request relay function module, a user data report function module, a security data aggregation function module and an aggregated data recovery module. According to the smart power grid aggregation method and system, the common fault tolerant function is supported, a difference privacy attack can be resisted, and the phenomenon that a hostile attacker exposes and obtains privacy information of the users by eavesdropping user communication links can be resisted; when some user data are not reported successfully, the electricity consumption of all the users with normal data reporting can still be aggregated; the smart power grid aggregation method and system have the high elastic expandability and can support efficient million-scale smart power grid electricity consumption data aggregation.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a smart grid aggregation method and system for differential privacy security and fault tolerance. Background technique [0002] In the field of smart grid technology, Lu et al. proposed a smart grid power consumption aggregation system that supports multi-dimensional aggregation. Based on homomorphic encryption technology, the data aggregation function that protects user privacy is realized under the security assumption of the semi-trusted data aggregation server. One-dimensional ciphertext is generated by encrypting multi-dimensional data, which significantly reduces communication and computing overhead. However, the system is based on a semi-trusted security model, which cannot effectively prevent data aggregation servers that are curious and not completely honest from leaking and obtaining users' private information. Moreover, technically, the system cann...

AI Technical Summary

Problems solved by technology

However, the addition of this extra noise causes the precision error of differential privacy, a

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