A Secure and Privacy-Preserving Data Aggregation Scheme for Smart Grid Advanced Metering Infrastructures

International Journal of Computer Science and Technology | Vol. 3, No. 5, May 2022 | pp. 33–40

Research Article

Title: A Secure and Privacy-Preserving Data Aggregation Scheme for Smart Grid Advanced Metering Infrastructures

Names of Authors: Ali Al-Zaabi¹, Fatma Al-Hassan², and Mona Al-Mansoori³

Authors’ Affiliations:
¹Department of Electrical and Computer Engineering, United Arab Emirates University, Al Ain, UAE
²Department of Computer Science, Khalifa University, Abu Dhabi, UAE
³College of Technological Innovation, Zayed University, Dubai, UAE

Abstract: Advanced Metering Infrastructure (AMI) networks in modern smart grids enable utilities to collect high-frequency electrical consumption statistics from residential smart meters to balance grid loads and optimize power generation distribution. However, transmitting fine-grained power metrics over open networks creates data privacy risks, as third-party analysis could reveal private household habits and daily occupancy routines. This paper proposes a secure, privacy-preserving data aggregation scheme tailored for smart grid AMI communication loops. The proposed protocol implements homomorphic encryption based on the Paillier cryptosystem, allowing intermediate local data aggregators to sum electrical readings algebraically without decrypting individual customer metrics. To counter internal security threats and fake measurement injections, an elliptic curve digital signature scheme provides end-to-end source validation. Security analysis demonstrates that the aggregation protocol resists eavesdropping, data alteration, and collusion attacks, even if regional data concentrators become compromised. Computational profiling confirms that smart meter encryption processing requires 1.8 ms, and regional verification cycles complete efficiently, verifying its viability for high-density smart electrical distribution networks.

Keywords: Smart grid privacy, Advanced metering infrastructure, Homomorphic encryption, Data aggregation, Cyber-physical security, Paillier cryptosystem

Manuscript Timeline: Received: February 16, 2022; Revised: March 24, 2022; Accepted: April 20, 2022; Published: May 1, 2022

Citation: Al-Zaabi, A., Al-Hassan, F., & Al-Mansoori, M. (2022). A secure and privacy-preserving data aggregation scheme for smart grid advanced metering infrastructures. International Journal of Computer Science and Technology, 3(5), 33–40. DOI: 10.46882/2022/IJCST/000029

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