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research-article

Hybrid quantum architecture for smart city security

Authors:

Vita Santa Barletta,

Danilo Caivano,

Mirko De Vincentiis,

Michele ScaleraAuthors Info & Claims

Volume 217, Issue C

https://doi.org/10.1016/j.jss.2024.112161

Published: 21 November 2024 Publication History

Abstract

Currently and in the near future, Smart Cities are vital to enhance urban living, address resource challenges, optimize infrastructure, and harness technology for sustainability, efficiency, and improved quality of life in rapidly urbanizing environments. Owing to the high usage of networks, sensors, and connected devices, Smart Cities generate a massive amount of data. Therefore, Smart City security concerns encompass data privacy, Internet-of-Things (IoT) vulnerabilities, cyber threats, and urban infrastructure risks, requiring robust solutions to safeguard digital assets, citizens, and critical services. Some solutions include robust cybersecurity measures, data encryption, Artificial Intelligence (AI)-driven threat detection, public–private partnerships, standardized security protocols, and community engagement to foster a resilient and secure smart city ecosystem. For example, Security Information and Event Management (SIEM) helps in real-time monitoring, threat detection, and incident response by aggregating and analyzing security data. To this end, no integrated systems are operating in this context. In this paper, we propose a Hybrid Quantum-Classical Architecture for bolstering Smart City security that exploits Quantum Machine Learning (QML) and SIEM to provide security based on Quantum Artificial Intelligence and patterns/rules. The validity of the hybrid quantum-classical architecture was proven by conducting experiments and a comparison of the QML algorithms with state-of-the-art AI algorithms. We also provide a proof of concept dashboard for the proposed architecture.

Highlights

•

Hybrid Quantum Architecture for Cyber Security Attacks.

•

Quantum Machine Learning (QML) and SIEM to provide security based on Quantum Artificial Intelligence and patterns/rules.

•

The application of Quantum Computing to reduce the time to identify attacks in an IoT scenario.

•

Hybrid Quantum Architecture to analyze vulnerabilities and threats.

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Index Terms

Hybrid quantum architecture for smart city security
1. Human-centered computing
2. Networks
  1. Network properties

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Journal of Systems and Software

Journal of Systems and Software Volume 217, Issue C

Nov 2024

328 pages

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Elsevier Science Inc.

United States

Publication History

Published: 21 November 2024

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