Browsing by Author "Alharbi, Mekhled"

Now showing 1 - 1 of 1

Restricted
Intelligent Approaches for Robust Blockchain-based Identity Management
(Saudi Digital Library, 2023-02-01) Alharbi, Mekhled; Hussain, Farookh
Smart contracts, which are maintained on blockchain, are self-executing protocols designed to monitor and confirm the fulfilment of a contract’s terms. The trustworthiness of these contracts is guaranteed by these protocols, which also excludes any intermediaries from the transactions. Blockchain is a modern technology with rapidly expanding significance that is used in many applications, such as financial transactions, smart cities, and share trading. Currently, users’ identities are stored and managed by service providers using their centralized system. Identity information management is usually undertaken by the providers which raises concerns about user privacy and trustworthiness. Blockchain technology has the potential to enhance the identity management domain by eliminating the need for a trusted intermediary. However, the advent of blockchain technology has led to new identity management concepts to tackle trustworthiness and privacy challenges, granting users control over their information. Blockchain is suitable for situations requiring both trust and transparency due to its inherent characteristics. Therefore, there is a critical need to develop intelligent approaches to manage user identity information in a reliable manner. Thus, we tackle this issue by providing a solution that combines the mechanism of identity management with smart contracts based on blockchain and the use of artificial intelligence. We performed a systematic literature review to deepen our understanding of the issues and solutions employed in addressing these challenges to identify the drawbacks of the existing methods in the field of identity management. In the existing literature, no solution has been proposed to manage user identities in a way that guarantees data privacy and trustworthiness through the use of blockchain-based smart contracts and artificial intelligence techniques. The use of blockchain based on smart contracts has the potential to play a significant part in identity management by improving transparency and privacy. In this thesis, we develop intelligent approaches to solve the aforementioned research issue. We integrate blockchain-based smart contracts with identity management to detect duplicate user identities while maintaining the privacy of the data of these identities, thus multiple machine learning approaches are proposed to detect duplicate users’ identities on top of blockchain. We also develop an early warning system to generate alerts for users whose identities are nearing expiration. Furthermore, we propose an algorithm to intelligently compute the trustworthiness score of a user’s identity based on the identity documents provided by the user, which are stored safely, hence boosting confidence in the users’ trustworthiness score. Finally, a software prototype is selected to validate the performance of the methods proposed in this thesis.
36 0