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Abstract

As communication technologies evolve and the Internet of Things (IoT) continues to advance, along with the rapid growth of Industry 4.0, the importance of cybersecurity research is increasingly recognised across industrial and economic sectors. Furthermore, quantum computing poses a significant challenge to traditional cryptographic methods and established cybersecurity protocols. Consequently, the development of new approaches to address these emerging risks and opportunities is vital. The article is structured into multiple sections focused on different aspects, with the central part being the section on Regev’s algorithm and QML for cyberattack detection. Each of these two sections is divided into two parts: the first provides the main challenge encountered in the implementation of quantum algorithms for prime factorisation and threat detection, while the second explains the chosen strategy to address it. The final section of this study will present a review of the potential economic impact of these advances. The main outcome of this paper is to show the way forward in quantum algorithms research for cybersecurity in the post-quantum era, both for key cracking and cyber-attack detection.

Keywords

quantum computing cybersecurity Regev’s algorithm quantum machine learning (QML)vanishing similarity

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Quantum Technologies and Cybersecurity in Economy and Industry: Further Research

Abstract

Keywords

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