Alanezi, A (2024) Smart IoT System Construction of Security Mechanisms Based on Quantum Walks and Chaotic Systems. Doctoral thesis, Liverpool John Moores University.

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Abstract

The integration of Internet of Things (IoT) into daily life, particularly in the context of fifth-generation (5G) networks, demands robust security mechanisms to protect sensitive information. Current encryption methods, especially con- cerning image transmission over 5G networks, face vulnerabilities. This thesis explores the innovative fusion of quantum walks and chaotic systems to fortify data security in IoT environments, addressing the inherent vulnerabilities in multimedia content security. The research introduces novel cryptographic mechanisms, leveraging chaotic systems for image encryption. A key novelty lies in the development of a novel image encryption approach for data transfer in cloud-based smart cities, cascading Logistic-Chebyshev and Logistic-Sine maps, demonstrating enhanced security and efficiency with lower encryption time compared to existing algorithms. An optical image cryptosystem, integrat- ing quantum walks at two encryption stages - inner encryption and encoding by double random phase encoding, exhibits robustness and security against diverse attacks. Furthermore, a digital image cryptosystem utilizing quantum walks for image substitution surpasses state-of-the-art cryptosystems in per- formance. In response to the burgeoning field of quantum computation and chaotic dynamical systems, the thesis introduces three authenticated quantum cryptographic protocols based on quantum walks. Authenticated Quantum Key Distribution (AQKD), Authenticated Semi-Quantum Key Distribution (ASQKD), and Authenticated Semi-Quantum Key Distribution with limited quantum resources ensure security against well-known attacks while main- taining high efficiency. This study addresses the security concerns arising from iv the interaction between physical and virtual worlds in the 5G-IoT context. It emphasizes the vulnerabilities in multimedia data transmission and proposes cutting-edge technologies based on quantum and chaotic systems as robust defense mechanisms. The convergence of 5G and IoT, while transformative, introduces security challenges, and the proposed solutions aim to significantly improve data security in 5G networks, IoT, cloud computing, and applications in smart cities. The comprehensive evaluation of proposed solutions using various metrics underscores their robustness against a spectrum of attack- s, positioning them as promising contributors to enhancing the security of multimedia data transmission in 5G networks and beyond.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Quantum; IoT; Cyber Security; cryptosystem
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Divisions:	Computer Science and Mathematics
SWORD Depositor:	A Symplectic
Date Deposited:	30 Jan 2024 15:44
Last Modified:	30 Oct 2024 00:50
DOI or ID number:	10.24377/LJMU.t.00022449
Supervisors:	Kolivand, H, Sharifian, F and El-latif, AA
URI:	https://researchonline.ljmu.ac.uk/id/eprint/22449

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