Analyzing the impact of quantum computing on IoT security using computational based data analytics techniques

Wael Alosaimi; Abdullah Alharbi; Hashem Alyami; Bader Alouffi; Ahmed Almulihi; Mohd Nadeem; Rajeev Kumar; Alka Agrawal; Wael Alosaimi; Abdullah Alharbi; Hashem Alyami; Bader Alouffi; Ahmed Almulihi; Mohd Nadeem; Rajeev Kumar; Alka Agrawal

doi:10.3934/math.2024342

AIMS Mathematics

2024, Volume 9, Issue 3: 7017-7039. doi: 10.3934/math.2024342

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Analyzing the impact of quantum computing on IoT security using computational based data analytics techniques

1.
Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
2.
Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia
3.
School of Computer Application, Babu Banarasi Das University, Lucknow, UP, India 226028
4.
Centre for Innovation and Technology, Administrative Staff College of India, Hyderabad, Telangana, India 500082
5.
Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, UP, India 226025

Received: 05 December 2023 Revised: 15 January 2024 Accepted: 23 January 2024 Published: 19 February 2024
MSC : 03B52, 94D05, 94D10

The Internet of Things (IoT) market is experiencing exponential growth, with projections increasing from 15 billion dollars to an estimated 75 billion dollars by 2025. Quantum computing has emerged as a key enabler for managing the rapid expansion of IoT technology, serving as the foundation for quantum computing support. However, the adoption of quantum computing also introduces numerous privacy and security challenges. We delve into the critical realm of quantum-level security within a typical quantum IoT. To achieve this objective, we identified and precisely analyzed security attributes at various levels integral to quantum computing. A hierarchical tree of quantum computing security attributes was envisioned, providing a structured approach for systematic and efficient security considerations. To assess the impact of security on the quantum-IoT landscape, we employed a unified computational model based on Multi-Criteria Decision-Making (MCDM), incorporating the Analytical Hierarchy Process (AHP) and the Technique for Ordering Preferences by Similarity to Ideal Solutions (TOPSIS) within a fuzzy environment. Fuzzy sets were used to provide practical solutions that can accommodate the nuances of diverse and ambiguous opinions, ultimately yielding precise alternatives and factors. The projected undertaking was poised to empower practitioners in the quantum-IoT realm by aiding in the identification, selection, and prioritization of optimal security factors through the lens of quantum computing.
- quantum security,
- quantum computing,
- internet of things,
- fuzzy decision making
Citation: Wael Alosaimi, Abdullah Alharbi, Hashem Alyami, Bader Alouffi, Ahmed Almulihi, Mohd Nadeem, Rajeev Kumar, Alka Agrawal. Analyzing the impact of quantum computing on IoT security using computational based data analytics techniques[J]. AIMS Mathematics, 2024, 9(3): 7017-7039. doi: 10.3934/math.2024342

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Abstract

The Internet of Things (IoT) market is experiencing exponential growth, with projections increasing from 15 billion dollars to an estimated 75 billion dollars by 2025. Quantum computing has emerged as a key enabler for managing the rapid expansion of IoT technology, serving as the foundation for quantum computing support. However, the adoption of quantum computing also introduces numerous privacy and security challenges. We delve into the critical realm of quantum-level security within a typical quantum IoT. To achieve this objective, we identified and precisely analyzed security attributes at various levels integral to quantum computing. A hierarchical tree of quantum computing security attributes was envisioned, providing a structured approach for systematic and efficient security considerations. To assess the impact of security on the quantum-IoT landscape, we employed a unified computational model based on Multi-Criteria Decision-Making (MCDM), incorporating the Analytical Hierarchy Process (AHP) and the Technique for Ordering Preferences by Similarity to Ideal Solutions (TOPSIS) within a fuzzy environment. Fuzzy sets were used to provide practical solutions that can accommodate the nuances of diverse and ambiguous opinions, ultimately yielding precise alternatives and factors. The projected undertaking was poised to empower practitioners in the quantum-IoT realm by aiding in the identification, selection, and prioritization of optimal security factors through the lens of quantum computing.

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