A Framework of Privacy Assessment for Smart Airport Passenger Interaction Architecture

Alabsi, Maha Ibrahim A.

A Framework of Privacy Assessment for Smart Airport Passenger Interaction Architecture

Alabsi, Maha Ibrahim A.

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Alabsi, Maha Ibrahim A.
dc.date.accessioned	2024-06-19T04:57:09Z
dc.date.available	2024-06-19T04:57:09Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/179574
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Privacy of information has become a critical concern in the contemporary complex digital ecosystems or environments. Smart airport is an example of a digital ecosystem or environment, in which its digitally interconnected systems play a key role in facilitating and improving the quality of service provided to passengers. In smart airport, actors interact with technologies to handle several types of personal passenger information at each stage of their interaction journey. However, passengers’ information in smart airport may result in passengers suffering from serious privacy risks that may compromise their information and affect their privacy. This research conducted a comprehensive review that revealed a lack of common understanding and assessment of privacy risks associated with passenger information in the context of smart airport. Thus, this thesis aims to address this important research gap by proposing an Interaction Journey Architecture and Privacy Risk Assessment (IJAPRA) framework. The proposed framework provides new knowledge and understanding of privacy risks linked to the personal information of passengers in smart airports and assists in assessing privacy risks relevant to passenger information in smart airport. This research applied a well-known design science research (DSR) method for developing and evaluating the IJAPRA framework in short increments. The proposed IJAPRA framework consists of the following 2 main components: (1) Interaction Journey and Privacy Risk Assessment (IJPRA) ontology, and (2) IJPRA architecture. The IJPRA ontology is developed to conceptualise and capture the knowledge of the complex passenger interaction journey and associated privacy risks in the smart airport. The IJPRA architecture comprises the Interaction Journey (IJ) and Privacy Risk (PR) layers, which are designed based on the IJPRA ontology concepts. The IJPRA architecture offers a set of elements and their relationships involved in the passenger interaction journey. This will facilitate the identification, understanding and assessment of privacy risks arising during the passenger journey. The evaluation of the proposed framework is conducted using two DSR evaluation methods: illustrative scenarios and expert evaluation via field survey through three iterations where each iteration resulted in an updated version of the IJAPRA framework based on the evaluation results. The results of this thesis indicate that the proposed IJAPRA framework is applicable and appropriate to capture the knowledge relevant to the domain of passenger interaction journey and associated privacy risks in smart airport. In conclusion, overall results indicate that the proposed framework addressed the identified research question and gap in hand.	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/10453/179574/1/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 Maha Ibrahim A Alabsi
dc.rights	au.edu.uts.lib/cph
dc.title	A Framework of Privacy Assessment for Smart Airport Passenger Interaction Architecture	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Privacy of information has become a critical concern in the contemporary complex digital ecosystems or environments. Smart airport is an example of a digital ecosystem or environment, in which its digitally interconnected systems play a key role in facilitating and improving the quality of service provided to passengers. In smart airport, actors interact with technologies to handle several types of personal passenger information at each stage of their interaction journey. However, passengers’ information in smart airport may result in passengers suffering from serious privacy risks that may compromise their information and affect their privacy. This research conducted a comprehensive review that revealed a lack of common understanding and assessment of privacy risks associated with passenger information in the context of smart airport. Thus, this thesis aims to address this important research gap by proposing an Interaction Journey Architecture and Privacy Risk Assessment (IJAPRA) framework. The proposed framework provides new knowledge and understanding of privacy risks linked to the personal information of passengers in smart airports and assists in assessing privacy risks relevant to passenger information in smart airport. This research applied a well-known design science research (DSR) method for developing and evaluating the IJAPRA framework in short increments. The proposed IJAPRA framework consists of the following 2 main components: (1) Interaction Journey and Privacy Risk Assessment (IJPRA) ontology, and (2) IJPRA architecture. The IJPRA ontology is developed to conceptualise and capture the knowledge of the complex passenger interaction journey and associated privacy risks in the smart airport. The IJPRA architecture comprises the Interaction Journey (IJ) and Privacy Risk (PR) layers, which are designed based on the IJPRA ontology concepts. The IJPRA architecture offers a set of elements and their relationships involved in the passenger interaction journey. This will facilitate the identification, understanding and assessment of privacy risks arising during the passenger journey. The evaluation of the proposed framework is conducted using two DSR evaluation methods: illustrative scenarios and expert evaluation via field survey through three iterations where each iteration resulted in an updated version of the IJAPRA framework based on the evaluation results. The results of this thesis indicate that the proposed IJAPRA framework is applicable and appropriate to capture the knowledge relevant to the domain of passenger interaction journey and associated privacy risks in smart airport. In conclusion, overall results indicate that the proposed framework addressed the identified research question and gap in hand.

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http://hdl.handle.net/10453/179574