Blockchain based Intelligent Identity Management

Alotaibi, Suhair

Blockchain based Intelligent Identity Management

Alotaibi, Suhair

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Alotaibi, Suhair
dc.date.accessioned	2026-11-04T02:03:49Z
dc.date.available	2026-11-04T02:03:49Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/197296
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Digital identity management remains a critical challenge in the digital era, as traditional centralized models are susceptible to data breaches, impersonation, and reliance on single points of authority. To address these limitations, this research proposes a Blockchain-based Intelligent Identity Management (BIIM) framework that integrates blockchain technology with biometric authentication to deliver a secure, transparent, and user-centric paradigm for identity management. The BIIM framework comprises three core modules: blockchain-enabled biometric identity management, user-driven data ownership, and a federated identity mechanism. Collectively, these modules enable individuals and organizations to securely register, validate, and manage identity records within a decentralized environment. Biometric data serve as a primary authentication factor, while the federated identity feature ensures consistent and verifiable identity utilization across multiple domains, thereby reducing redundancy and enhancing user control. A prototype implementation of BIIM was developed and empirically evaluated in terms of scalability, security, and operational efficiency in managing user identity. The evaluation results demonstrate that BIIM strengthens defenses against impersonation, enhances transparency in verification processes, and empowers users with full control of their identity data. Nonetheless, limitations persist, particularly regarding transaction costs and latency inherent to blockchain-based systems. This study contributes to the academic field of decentralized identity management by introducing a biometrics-integrated, blockchain-driven, and federated framework for secure and autonomous identity governance. The research highlights BIIM’s potential to establish a scalable, privacy-preserving, and user-centric identity management system, while underscoring the need for further optimization and regulatory alignment to enable practical deployment and adoption.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/197296/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Suhair Alotaibi
dc.rights	au.edu.uts.lib/cph
dc.title	Blockchain based Intelligent Identity Management	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Digital identity management remains a critical challenge in the digital era, as traditional centralized models are susceptible to data breaches, impersonation, and reliance on single points of authority. To address these limitations, this research proposes a Blockchain-based Intelligent Identity Management (BIIM) framework that integrates blockchain technology with biometric authentication to deliver a secure, transparent, and user-centric paradigm for identity management. The BIIM framework comprises three core modules: blockchain-enabled biometric identity management, user-driven data ownership, and a federated identity mechanism. Collectively, these modules enable individuals and organizations to securely register, validate, and manage identity records within a decentralized environment. Biometric data serve as a primary authentication factor, while the federated identity feature ensures consistent and verifiable identity utilization across multiple domains, thereby reducing redundancy and enhancing user control. A prototype implementation of BIIM was developed and empirically evaluated in terms of scalability, security, and operational efficiency in managing user identity. The evaluation results demonstrate that BIIM strengthens defenses against impersonation, enhances transparency in verification processes, and empowers users with full control of their identity data. Nonetheless, limitations persist, particularly regarding transaction costs and latency inherent to blockchain-based systems. This study contributes to the academic field of decentralized identity management by introducing a biometrics-integrated, blockchain-driven, and federated framework for secure and autonomous identity governance. The research highlights BIIM’s potential to establish a scalable, privacy-preserving, and user-centric identity management system, while underscoring the need for further optimization and regulatory alignment to enable practical deployment and adoption.

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http://hdl.handle.net/10453/197296