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Researchers from Oak Ridge National Laboratory Detail Research in Cybersecurity (Authentication of smart grid communications using quantum key distribution)

  • Aug 17, 2022
Tech Daily News

2022 AUG 16 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- New research on cybersecurity is the subject of a new report. According to news reporting out of the Oak Ridge National Laboratory by NewsRx editors, research stated, “Smart grid solutions enable utilities and customers to better monitor and control energy use via information and communications technology.”

The news editors obtained a quote from the research from Oak Ridge National Laboratory: “Information technology is intended to improve the future electric grid’s reliability, efficiency, and sustainability by implementing advanced monitoring and control systems. However, leveraging modern communications systems also makes the grid vulnerable to cyberattacks. Here we report the first use of quantum key distribution (QKD) keys in the authentication of smart grid communications. In particular, we make such demonstration on a deployed electric utility fiber network. The developed method was prototyped in a software package to manage and utilize cryptographic keys to authenticate machine-to-machine communications used for supervisory control and data acquisition (SCADA).”

According to the news editors, the research concluded: “This demonstration showcases the feasibility of using QKD to improve the security of critical infrastructure, including future distributed energy resources (DERs), such as energy storage.”

For more information on this research see: Authentication of smart grid communications using quantum key distribution. Scientific Reports, 2022,12(1):1-13. (Scientific Reports - The publisher for Scientific Reports is Nature Portfolio.

A free version of this journal article is available at

Our news journalists report that additional information may be obtained by contacting Muneer Alshowkan, Computational Sciences and Engineering Division, Oak Ridge National Laboratory. Additional authors for this research include Philip G. Evans, Michael Starke, Duncan Earl, Nicholas A. Peters.


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