Data aggregation method for smart grid security and privacy protection based on fog computing

Abstract

The present invention proposes a smart grid security and privacy protection data aggregation method based on fog computing. The method collects, encrypts, and uploads user electricity consumption data reports through smart meters; uses fog nodes that can mine local computing capabilities to perform fine-grained aggregation And upload it to the cloud node; through the cloud node, the coarse-grained aggregation data is completed and uploaded to the power service organization; finally, the reliable power service organization collects, processes and analyzes the coarse-grained aggregation data, and then generates a power dispatching plan based on these analysis results. The specific steps include: (1) system initialization; (2) packaging smart meter data report; (3) packaging fog node fine-grained aggregation report; (4) packaging cloud node coarse-grained aggregation report; (5) power service agency reading aggregation Report. The advantages of the invention are as follows: while protecting the security and integrity of user privacy data, it performs multi-resolution aggregation, reduces transmission consumption, and realizes flexible power scheduling.

Description

technical field [0001] The invention is actually a data aggregation method for smart grid security and privacy protection based on fog computing, and belongs to the technical field of information security. Background technique [0002] In recent years, with the steady development of the world economy and the Internet, the electricity demand of the people is also increasing day by day. As a new power grid system that takes over the traditional power grid, the smart grid can interact with users, realize the rational allocation of resources, and improve energy utilization. In order to cope with the challenges brought about by the explosive growth of power grid operation data, the smart grid applies emerging technologies such as big data, fog computing, and the Internet of Things, but at the same time, these technologies inevitably bring about infrastructure, controllers and monitors, data Attack threats such as illegal packet cracking, denial of service, man-in-the-middle and ...

AI Technical Summary

Problems solved by technology

Existing identity authentication schemes often fail to take into account computational overhead and privacy protection effects; certificate-based identity authentication has the problems of overly complex certificate management and key escrow

[0005] The second way of thinking - to protect the real-time data of smart meters, generally adopt data aggregation technology, that is, use homomorphic encryption technology to calculate the total power consumption of multiple users in an encrypted state without revealing the power consumption data of a single user. In this case, even if the attacker has learned the identity of the smart meter, he cannot know the user's private information and carry out the attack

In this type of traditional model, the data is aggregated only in the cloud layer, causing the cloud to bear huge computing pressure, and a large amount of communication overhead is generated on the communication link between the device layer and the cloud layer

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