Skip navigation

SDAG: blockchain-enabled model for secure data awareness in smart grids

SDAG: blockchain-enabled model for secure data awareness in smart grids

Sani, Abubakar Sadiq, Yuan, Dong and Dong, Zhao Yang (2023) SDAG: blockchain-enabled model for secure data awareness in smart grids. In: 2023 Innovative Smart Grid Technologies North America (ISGT NA), 16th - 19th January 2023, Washington, Washington DC, United States. (doi:

38389_SANI_SDAG_Blockchain_enabled_model_for_secure_data_awareness_in_smart_grids (1).pdf - Accepted Version

Download (334kB) | Preview


We introduce SDAG, a blockchain-enabled secure data awareness model by which energy nodes can provide visibility into energy operations without involving energy operators in the smart grids. SDAG consists of a registration protocol (RPro) for assigning a cryptographic identity to an energy node and a data-aware protocol (DAPro) for executing data awareness with the support of a shared secret session key and SDAG smart contracts, which facilitate data awareness consensus amongst energy nodes. SDAG satisfies the smart grid's data awareness security requirements, which include correctness of data, assurance of energy node identity, and fairness of data awareness transactions such as energy node registration. As a proof of concept, we apply our model to mitigate a recent issue on the loss of State Estimator (SE) due to contracting data in a real-world energy grid.

Item Type: Conference or Conference Paper (Paper)
Uncontrolled Keywords: data awareness; security; blockchain; smart grids; key exchange
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Internet of Things and Security Research Centre (ISEC)
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:
Last Modified: 27 Mar 2023 13:17

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics