Aggregation method and system for electricity privacy and integrity protection in smart grid

Abstract

The invention discloses a combining method and system for protecting power utilization privacy and integrity in a smart power grid. According to the method, a smart electric meter arranged for a user is used for recording and reporting the power consumption of the user in real time; a gateway having computing capability is responsible for a data combining function and a relay function; a control center is used for collecting, processing and analyzing the real-time power consumption data of each user, and providing reliable services; a credible center is used for managing a whole system. The method comprises a system initialization stage (1), a user data reporting stage (2), a security data combining stage (3) and combined data recovery extremism (4). By adopting the combining method and system, a safe data combining system is implemented, and the power utilization privacy of the user is protected; meanwhile, the integrity of data is ensured, namely, data communication errors are detected and reported technically, the user is prevented from reporting illegally with a false name, and the reported power consumption is prevented from being illegally captured, modified, faked and the like.

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 electricity privacy and integrity protection in smart grids. Background technique [0002] In the field of smart grid technology, Peng Liu et al. proposed a data aggregation scheme based on the network topology association mechanism, which can effectively collect the electricity consumption of users. First, by designing a data aggregation tree, the power control center can collect the power consumption of all users from bottom to top. Secondly, by adopting homomorphic encryption technology, each node in the tree can aggregate the data of all its child nodes in the ciphertext space, thus protecting the user's privacy without revealing the plaintext of the user's power consumption. However, in the smart grid application system, in the application scenarios of accidental data communication errors and malicious tampering of commun...

AI Technical Summary

Problems solved by technology

However, due to the inherent flaws of the technology used, the characteristics of suspicious data cannot be accurately described and defined

Therefore, the system cannot accurately judge the time point of starting and executing the incremental verification digital signature system with huge calculation and communication overhead; moreover, due to the ambiguity of suspicious data characteristics, the actual operability is poor, and experiments show that it cannot be used in many scenarios. Effectively pinpoint (often misjudged or missed) potential data integrity attacks

[0008] (3) In this system, when the power control center checks suspicious data, it can obtain the plain text data of each user's power consumption by starting the data integrity check program, which cannot effectively prevent the power control center from abusing authority, so it cannot be technically Protect user's private information

However, this method is not effective against collusion attacks

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