IEEE Transactions on Engineering Management Journal
Our blockchain research was featured in the IEEE journal Transactions on Engineering Management in a piece entitled “A Novel Multitier Blockchain Architecture to Protect Data in Smart Metering Systems”. This research proposes a novel cybersecurity architecture for smart metering systems, based on blockchains to significantly enhance data security. Ultimately, the proposed architecture could be used for the next-generation of AMI systems as it includes a stronger cybersecurity for data tampering in energy transactions.
The overall aim of the journal is to focus on management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
The aim of the piece is to propose an AMI architecture that can effectively improve cybersecurity and data protection for smart metering applications. The abstract states “Smart metering is among the most important current and future trends in smart grid development. Utility companies spearheading the smart meter revolution claim many benefits for the end-user. One of the key information technology solutions applied to smart meters is ensuring data protection and cybersecurity. Nowadays, the data tampering in smart meters is a big issue for the utilities and end-users. In particular, the advent of secure monetary transactions has inspired the diversification of blockchains as means to provide cybersecurity and encourage end-user trust. The blockchain technology has some issues such as storage and processing, which are necessary to improve for getting better performance in smart metering systems. Here, the authors propose a novel cybersecurity architecture for smart metering systems, based on blockchains to significantly enhance data security. The proposed architecture is divided into multiple tiers directed toward improving performance based on a scheme of edge, fog, and cloud computing. Besides, the authors present an optimized consensus algorithm for smart meters called proof-of-efficiency. The results show that the proposed architecture implemented can effectively improve cybersecurity and data protection for smart metering applications.”
See the journal piece here.