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How to tackle data meter infrastructure privacy issues: An Overlay Privacy Framework for Smart Grids

The development of electric smart grids using cutting-edge digital technology offers a huge opportunity to advance toward integrating a bigger share of renewable energy sources and supporting more effective and decentralized Electric Smart Grids (ESGs)

An essential component of an ESG’s architecture, the Advanced Metering Infrastructures (AMI), collects and analyzes data from smart meters in order to intelligently deploy various power-related apps and services based on that data. The AMI’s Meter Data Management System (MDMS) collects, stores, and allows for the consultation of meter data.

It is more likely that cyberattackers will gain access to the underlying systems and networks as the ESG paradigm comes to fruition. Additionally, ESG operators run the risk of exploiting the collected data unethically, which would be a privacy violation. Electricity usage data, billing information, subscriber profile information, home gadget types, and general consumer characteristics are all regarded as private data in ESGs. In order to undertake effective data aggregation about billing operations and dynamic billing with high security protection and appropriate access control, it is crucial to provide safe and smart metering activities.

IDENER is addressing this issue as part of the SDN-Microsense project by creating an Overlay Privacy Framework (OPF), a set of technologies designed to safeguard the data from the advanced metering infrastructure (AMI) in the ESGs. The OPF system offers a safe means of communication between the infrastructure’s meters and the information consumers. The OPF also makes sure that its operators are using the data in a responsible manner in addition to safeguarding it from assaults.

The OPF uses methods like homomorphic encryption and differential privacy to accomplish this. Through the anonymization of the data and the maintenance of a minimum aggregation level, such techniques enable the gathering of the necessary information while preventing the system from providing private data. By isolating billing operations from data analytics ones, this makes sure that each possible actor can only access the information to which it is legally and ethically allowed.

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