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ORNL researchers use blockchain to increase electric grid resiliency; Grid Guard

A team led by Raymond Borges Hink at the Department of Energy’s Oak Ridge National Laboratory (ORNL) has developed a method using blockchain to protect communications between electronic devices in the electric grid, preventing cyberattacks and cascading blackouts. The work is summarized in a new technical report from ORNL.

The project is part of the ORNL-led Darknet initiative, funded by the DOE Office of Electricity, to secure the nation’s electricity infrastructure by shifting its communications to increasingly secure methods.

Cyber risks have increased with two-way communication between grid power electronics equipment and new edge devices ranging from solar panels to electric car chargers and intelligent home electronics. By providing a trust framework for communication among electrical devices, the team is increasing the resilience of the electric grid.

The team developed a framework—called Grid Guard—to detect unusual activity, including data manipulation, spoofing and illicit changes to device settings. These activities could trigger cascading power outages as breakers are tripped by protection devices.

Grid Guard contains a combination of core cryptographic methods such as the secure hash algorithm (SHA), and asymmetric cryptography, private permissioned blockchain, baselining configuration data, consensus algorithm (Raft) and the Hyperledger Fabric (HLF) framework. The system implements a low energy, fast, and robust enhancement to system trustworthiness within and across electric grid systems such as substations, control centers and metering infrastructures.

—Hahn et al.

This framework gives us a totally new capability to rapidly respond to anomalies. In the long run, we could more quickly identify an unauthorized system change, find its source and provide more trustworthy failure analysis. The goal is to limit the damage caused by a cyberattack or equipment failure.

—Raymond Borges Hink

The approach uses tamper-resistant blockchain to spread configuration and operational data redundantly across multiple servers. The data and equipment settings are constantly verified against a statistical baseline of normal voltage, frequency, breaker status and power quality.


Grid Guard attestation framework and Anomaly Detection Module. Hahn et al.

Equipment settings are collected at frequent intervals and compared to the last good configuration saved in the blockchain. This allows rapid recognition of when and how settings were changed, whether those changes were authorized, and what caused them.

Our system helps determine in near real time whether a fault was triggered by a cyberattack or induced by natural events. This is the first implementation of blockchain enabling this kind of data validation between a substation, a control center and metering infrastructure.

—Raymond Borges Hink

This kind of monitoring requires processing a vast amount of information. The blockchain uses a cryptographic method called hashing, where a mathematical computation is performed on the bulk data to represent it as numbers in the blockchain. This saves energy and reduces the space needed to store data. The blockchain processes thousands of transactions per second for each intelligent grid device, validating the contents.

Researchers demonstrated the framework in a test bed within DOE’s Grid Research and Integration Deployment Center, or GRID-C, at ORNL. Built under the leadership of ORNL’s Emilio Piesciorovsky, the advanced protection lab uses commercial-grade hardware in a closed electrical loop to mimic the architecture of a real substation. This provides a low-risk way to simulate cyberattacks or accidental misconfigurations. The team’s validation framework can detect both. Researchers are extending the approach to incorporate communications among renewable energy sources and multiple utilities.

Other ORNL researchers who contributed to the project include Piesciorovsky, Aaron Werth, Annabelle Lee, Gary Hahn and Yarom Polsky.


  • Hahn, Gary, Werth, Aaron, Piesciorovsky, Emilio, Monday, William, Polsky, Yarom, Lee, Annabelle, and Borges Hink, Raymond (2022) “Oak Ridge National Laboratory Pilot Demonstration of an Attestation and Anomaly Detection Framework using Distributed Ledger Technology for the Power Grid Infrastructure.” doi: 10.2172/1887685


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