A Novel Quantum Augmented Framework to Improve Microgrid Cybersecurity

TL;DR

This paper introduces a quantum-augmented network framework to enhance the cybersecurity of microgrids, integrating quantum techniques to improve privacy, integrity, and resilience against classical cyberattacks.

Contribution

It proposes a novel quantum augmented microgrid framework combining secure quantum networking, anonymous notification, and quantum random number generation for improved cybersecurity.

Findings

Simulated a traffic analysis and spoofing attack on quantum-augmented microgrids.

Quantified impacts on information leakage, operational delays, and energy delivery.

Evaluated trade-offs between privacy, availability, and mitigation costs.

Abstract

Small modular nuclear reactors (SMRs) are redefining the energy generation landscape by enabling the deployment of modular, scalable, and pre-built power units that can be used to build distributed autonomous microgrids for critical infrastructure and burgeoning AI factories. Often, these microgrids are linked together to provide a resilient, decentralized power generation infrastructure. Consequently, the cybersecurity of microgrids is of critical importance. In this work, we propose a quantum augmented network framework for resilient microgrids. We integrate the ideas of secure quantum networking, quantum anonymous notification, and quantum random number generation to strengthen the integrity, confidentiality, and privacy of microgrid networks. To substantiate the possible benefits of using quantum augmented microgrids, we simulate a practical high-impact classical attack: a traffic analysis and priority-action spoofing campaign that can (1) deanonymize the anonymous notification for a high-priority action, (2) force excessive key usage, and (3) induce harmful allow/block operations at the control level. We quantify how these attacks affect information leakage, spoof acceptance, key sufficiency, and operational outcomes such as latency, deadline misses, unserved energy, etc. This quantum augmented microgrid (QuAM) framework lets us evaluate trade-offs between privacy, availability, and the operational cost of mitigation (cover traffic, verification delays, and key-rotation policies), further paving the path for the study of more nuanced attacks that arise due to the use of quantum-classical integrated frameworks.