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Integrated and Accountable Data Sharing for Smart Grids With Fog and Dual-Blockchain Assistance | IEEE Journals & Magazine | IEEE Xplore

Integrated and Accountable Data Sharing for Smart Grids With Fog and Dual-Blockchain Assistance


Abstract:

Combining a fog layer to aggregate and process data for smart grids is a straightforward approach, yet it inevitably leads to trust issues and audition difficulty. Most e...Show More

Abstract:

Combining a fog layer to aggregate and process data for smart grids is a straightforward approach, yet it inevitably leads to trust issues and audition difficulty. Most existing data-sharing architectures did not consider the copious meter–fog communication and fog–cloud bulk data transmission simultaneously, or they relay the trustworthiness of the fog nodes on a single center. In this article, we design a meter–fog–cloud-blockchain data-sharing architecture for smart grids where the fog nodes are not only data relay stations but also semitrusted local data processing points, and the dual blockchains are responsible for device key management and data integrity audit, respectively. Moreover, a certificateless aggregate signcryption between fog and smart meters is designed, and the data sharing between servers is based on an authenticated key agreement mechanism to achieve optimal efficiency overall. Detailed security proofs are demonstrated and performance results show the practicality and efficiency of our data-sharing scheme.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 20, Issue: 3, March 2024)
Page(s): 4940 - 4952
Date of Publication: 16 November 2023

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I. Introduction

As The needs of disaster emergency, low latency response, and intelligent data processing are increased, wireless communication is gradually becoming an important supplementary means of smart grid communication with its rapid deployment and no ground limitation [1]. At the same time, core wired transmission still occupies a large proportion of grid communications. Reliable data collection and processing is the cornerstone of subsequent efficient power resource scheduling [2]. Throughout the device components of the smart grid, data collection can be divided into two phases: collecting large amounts of small/short data from smart meters (SMs) and transmitting the aggregated bulk data to storage centers/processing centers.

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References

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