A Collusion-Resistance Privacy-Preserving Smart Metering Protocol for Operational Utility
Farid Zaredar, Morteza Amini

TL;DR
This paper presents a novel collusion-resistant privacy-preserving protocol for smart metering that uses homomorphic encryption and data perturbation to protect user privacy while supporting operational utility functions.
Contribution
It introduces a new aggregation protocol combining homomorphic encryption and data perturbation to enhance privacy and resist collusion in smart metering systems.
Findings
The protocol achieves about 2.21 seconds execution time with 1024-bit keys.
Higher noise scales increase privacy, as shown by normalized conditional entropy.
The scheme maintains efficiency while providing strong privacy guarantees.
Abstract
Modern grids have adopted advanced metering infrastructure (AMI) to facilitate bidirectional communication between smart meters and control centers. This enables smart meters to report consumption values at predefined intervals to utility providers for purposes including demand balancing, load forecasting, dynamic billing, and operational efficiency. Compared to traditional power grids, smart grids offer advantages such as enhanced reliability, improved energy efficiency, and increased security. However, utility providers can compromise user privacy by analyzing fine-grained readings and extracting individuals' daily activities from this time-series data. To address this concern, we propose a collusion-resistant, privacy-preserving aggregation protocol for smart metering in operational services. Our protocol ensures privacy by leveraging techniques such as partially additive homomorphic…
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Taxonomy
TopicsSmart Grid Security and Resilience · Wireless Communication Security Techniques · Electricity Theft Detection Techniques
