Abstract
Security in critical infrastructures such as the power grid is of vital importance. The Smart Grid puts power grid classical security approach on the ropes, since it introduces cyberphysical systems where devices, communications, and information systems must be protected. PoweRline Intelligent Metering Evolution (PRIME) is a Narrowband Power-Line Communications (NB-PLC) protocol widely used in the last mile of Advanced Metering Infrastructure (AMI) deployments, playing a key role in the Smart Grid. Therefore, this work aims to unveil the cybersecurity vulnerabilities present in PRIME standard, proposing solutions and validating and discussing the results obtained.
Highlights
The Smart Grid represents a revolution especially at distribution and customer levels, bringing monitoring and control capabilities, traditionally available up to the primary substations, down to the secondary substations and beyond
In the scope of Smart Grids, Advanced Metering Infrastructure (AMI) are systems installed by the Distribution System Operators (DSOs) in the power grid which are used for measuring, collecting, and analyzing the energy consumed and/or generated by the clients
The elements involved in the AMI include the metering devices, communication protocols, consumer energy displays and controllers, customer systems, Meter Data Management (MDM) software, and supplier business systems
Summary
The Smart Grid represents a revolution especially at distribution and customer levels, bringing monitoring and control capabilities, traditionally available up to the primary substations, down to the secondary substations and beyond. The elements involved in the AMI include the metering devices, communication protocols, consumer energy displays and controllers, customer systems, Meter Data Management (MDM) software, and supplier business systems. AMIs integrate smart meters, communication networks, and management systems, allowing duplex communication between the DSO and the final customers. This allows supporting several applications, including (1) improving supply quality control; (2) control of distributed generation scenarios based on renewable energies; (3) billing enhancements; (4) demand response; (5) antifraud techniques; (6) house automation applications [8]. In addition to the main systems comprising the AMI, smart meters, communication networks, and management systems, it is necessary to include data concentrators in those scenarios with a vast number of nodes
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