Quantum Security in Cyber Risk Analysis Through Fuzzy Analytic Hierarchy Process

Mahfooz  Ahmad; Eram Fatima; Ankit  Shukla; Neeta  Bhusal; Mazhar  Khaliq; Alka Agrawal

doi:10.26735/FWSL8668

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Published 31-12-2024

DOI https://doi.org/10.26735/FWSL8668

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“Quantum Security in Cyber Risk Analysis Through Fuzzy Analytic Hierarchy Process”, JISCR, vol. 7, no. 2, pp. 143–155, Dec. 2024, doi: 10.26735/FWSL8668.

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Mahfooz Ahmad

Department of Electronics and Communication, Integral University, Lucknow, India

Eram Fatima

Department of Computer Science and Engineering, G. L. Bajaj Institute of Technology and Management, Greater Noida, India

Ankit Shukla

Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, Lucknow, India

Neeta Bhusal

Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, Lucknow, India

Mazhar Khaliq

Department of Computer Science and Information Technology, Khwaja Moinuddin Chisti Language University, Lucknow, India

Alka Agrawal

Department of Information Technology, Babasaheb Bhimrao Ambedkar University Lucknow

Abstract

Quantum security is an evolving field that leverages principles of quantum physics to strengthen computing systems. Core concepts such as superposition and entanglement are foundation to this domain. However, current systems face significant challenges due to the extraordinary processing capabilities of quantum computers. As large-scale quantum computers with high qubit counts become operational, existing cybersecurity mechanisms are increasingly inadequate. This rapid advancement in quantum computing poses substantial risks to software, networks, web-based systems, and other security measures. To address these challenges, enhancing cybersecurity mechanisms is imperative. This paper explores various quantum security strategies categorized into six mechanisms (E1 to E6) and examines their effects on cybersecurity factors labeled H1 through H8. The analysis employs the Fuzzy Analytic Hierarchy Process (F-AHP) method, which assesses the relative importance of these factors based on an extensive literature review. By calculating the weight of different security aspects, the F-AHP method provides insights to prioritize critical components throughout the development cycle. The findings reveal that quantum-resistant cryptography is the most effective security measure. In contrast, digital signatures resistant to quantum errors were assigned the lowest priority, while the software system (H2) received the highest priority. These results underscore the importance of developing robust cybersecurity frameworks that align with the capabilities of quantum technology. As the field advances, it is crucial to design software, networks, and security systems that support the optimal functionality of quantum computers. Implementing quantum security mechanisms can significantly reduce vulnerabilities and mitigate the risk of cyberattacks. Over the next decade, new approaches to cybersecurity risk analysis leveraging quantum technology are expected to emerge, paving the way for enhanced cyber resilience in a quantum-powered future.

Keywords

cybersecurity, quantum computing, quantum security, risk analysis

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Issue

Vol. 7 No. 2 (2024)

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Original Research articles

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