Identifying Security and Privacy Issues in the End-user Systems

Waheed, Nazar

Identifying Security and Privacy Issues in the End-user Systems

Waheed, Nazar

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Waheed, Nazar
dc.date.accessioned	2024-06-18T00:19:00Z
dc.date.available	2024-06-18T00:19:00Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/179540
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	This thesis aims to comprehensively analyse the critical security and privacy issues in End-user systems, such as the Internet of Things (IoT) and websites. It highlights the unique challenges of IoT systems owing to their resource-limited and diverse nature. It highlights vulnerabilities, such as unauthorized data access and weak authentication protocols exacerbated by device heterogeneity and resource constraints. This thesis proposes innovative solutions by leveraging advancements in machine learning and blockchain technology to enhance the security and privacy of IoT systems across various applications including smart homes and healthcare. Among the proposed solutions are "Privacy-Enhanced Living," a framework employing differential privacy and randomized response techniques for smart home data security, and "FedBlockHealth," a hybrid model combining federated learning with blockchain to secure IoT-enabled healthcare data while ensuring data privacy and computational efficiency. Additionally, this thesis addresses the less scrutinized security risks associated with web-based chatbots, revealing potential vulnerabilities and emphasizing the need for user awareness. Through a comprehensive analysis and solution proposals, this thesis contributes significantly to improving the trustworthiness and resilience of these rapidly evolving technologies.	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/10453/179540/1/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 Nazar Waheed
dc.rights	au.edu.uts.lib/cph
dc.title	Identifying Security and Privacy Issues in the End-user Systems	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

This thesis aims to comprehensively analyse the critical security and privacy issues in End-user systems, such as the Internet of Things (IoT) and websites. It highlights the unique challenges of IoT systems owing to their resource-limited and diverse nature. It highlights vulnerabilities, such as unauthorized data access and weak authentication protocols exacerbated by device heterogeneity and resource constraints. This thesis proposes innovative solutions by leveraging advancements in machine learning and blockchain technology to enhance the security and privacy of IoT systems across various applications including smart homes and healthcare. Among the proposed solutions are "Privacy-Enhanced Living," a framework employing differential privacy and randomized response techniques for smart home data security, and "FedBlockHealth," a hybrid model combining federated learning with blockchain to secure IoT-enabled healthcare data while ensuring data privacy and computational efficiency. Additionally, this thesis addresses the less scrutinized security risks associated with web-based chatbots, revealing potential vulnerabilities and emphasizing the need for user awareness. Through a comprehensive analysis and solution proposals, this thesis contributes significantly to improving the trustworthiness and resilience of these rapidly evolving technologies.

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http://hdl.handle.net/10453/179540