Intelligent Approaches for Robust Blockchain-based Identity Management

Alharbi, Mekhled

Intelligent Approaches for Robust Blockchain-based Identity Management

Alharbi, Mekhled

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Alharbi, Mekhled
dc.date.accessioned	2023-10-03T21:52:40Z
dc.date.available	2023-10-03T21:52:40Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/172447
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Smart contracts, maintained on the blockchain, serve as self-executing protocols for monitoring and verifying contract terms. These contracts ensure trust and exclude intermediaries from transactions. Blockchain technology finds wide-ranging applications, including financial transactions, smart cities, and share trading. However, current identity management systems rely on centralized providers, raising concerns about privacy and trust. Blockchain technology offers a potential solution by eliminating the need for trusted intermediaries and providing users control over their information. This research addresses the challenge of managing user identity information reliably by combining identity management mechanisms, blockchain-based smart contracts, and artificial intelligence. Through a systematic literature review, existing methods in identity management were analyzed, revealing a lack of solutions that ensure data privacy and trust using blockchain-based smart contracts and artificial intelligence. The integration of blockchain-based smart contracts with identity management enables the detection of duplicate user identities while maintaining data privacy. Multiple machine learning approaches are used to achieve this. An early warning system is developed to alert users of nearing identity expiration. An algorithm is introduced to compute the trustworthiness score of user identities based on securely stored identity documents. A software prototype is employed to validate the proposed methods' performance. The findings demonstrate the potential of blockchain technology in enhancing transparency and privacy in identity management.	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/10453/172447/1/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	© 2023 Mekhled Alharbi
dc.rights	au.edu.uts.lib/cph
dc.title	Intelligent Approaches for Robust Blockchain-based Identity Management	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Smart contracts, maintained on the blockchain, serve as self-executing protocols for monitoring and verifying contract terms. These contracts ensure trust and exclude intermediaries from transactions. Blockchain technology finds wide-ranging applications, including financial transactions, smart cities, and share trading. However, current identity management systems rely on centralized providers, raising concerns about privacy and trust. Blockchain technology offers a potential solution by eliminating the need for trusted intermediaries and providing users control over their information. This research addresses the challenge of managing user identity information reliably by combining identity management mechanisms, blockchain-based smart contracts, and artificial intelligence. Through a systematic literature review, existing methods in identity management were analyzed, revealing a lack of solutions that ensure data privacy and trust using blockchain-based smart contracts and artificial intelligence. The integration of blockchain-based smart contracts with identity management enables the detection of duplicate user identities while maintaining data privacy. Multiple machine learning approaches are used to achieve this. An early warning system is developed to alert users of nearing identity expiration. An algorithm is introduced to compute the trustworthiness score of user identities based on securely stored identity documents. A software prototype is employed to validate the proposed methods' performance. The findings demonstrate the potential of blockchain technology in enhancing transparency and privacy in identity management.

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http://hdl.handle.net/10453/172447