User configurable privacy requirements elicitation in cyber-physical systems
User configurable privacy requirements elicitation in cyber-physical systems
The combination of our need for efficient mobility systems coupled with cyber-physical systems has brought about the evolution of Mobility-as-a-Service (MaaS), integrating transport services to provide one-stop access through a custom interface. Our interactions with these MaaS systems lead to a surfeit of data generation and consumption. And for MaaS growth to be sustained, users' trust in the system, especially in their data privacy, needs to be addressed. In this paper, we use LINDDUN privacy analysis framework to elicit privacy requirements of MaaS systems. We show how User-Dependent Analysis, i.e. modularizing complete use cases to different usage contexts and analysing these usages, can help guide us to discern that usage's privacy requirements, which can be enacted by relevant MaaS participants.
Omitola, Temitope
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Gomer, Richard
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Wills, Gary
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Tsakalakis, Niko
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Stalla-Bourdillon, Sophie
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Waterson, Ben
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Cherrett, Thomas
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Omitola, Temitope
1c60a885-5485-4676-8907-d657c22d5f58
Gomer, Richard
71c5969f-2da0-47ab-b2fb-a7e1d07836b1
Wills, Gary
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Tsakalakis, Niko
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Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Cherrett, Thomas
e5929951-e97c-4720-96a8-3e586f2d5f95
Omitola, Temitope, Gomer, Richard, Wills, Gary, Tsakalakis, Niko, Stalla-Bourdillon, Sophie, Waterson, Ben and Cherrett, Thomas
(2022)
User configurable privacy requirements elicitation in cyber-physical systems.
In Adaptive and Personalized Privacy and Security.
15 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
The combination of our need for efficient mobility systems coupled with cyber-physical systems has brought about the evolution of Mobility-as-a-Service (MaaS), integrating transport services to provide one-stop access through a custom interface. Our interactions with these MaaS systems lead to a surfeit of data generation and consumption. And for MaaS growth to be sustained, users' trust in the system, especially in their data privacy, needs to be addressed. In this paper, we use LINDDUN privacy analysis framework to elicit privacy requirements of MaaS systems. We show how User-Dependent Analysis, i.e. modularizing complete use cases to different usage contexts and analysing these usages, can help guide us to discern that usage's privacy requirements, which can be enacted by relevant MaaS participants.
Text
UserConfigurableSouthampton
- Accepted Manuscript
More information
Accepted/In Press date: 20 April 2022
Identifiers
Local EPrints ID: 456887
URI: http://eprints.soton.ac.uk/id/eprint/456887
PURE UUID: d4a94cef-1124-497f-a9c7-ca95592c7c20
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Date deposited: 16 May 2022 16:31
Last modified: 17 Mar 2024 03:44
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Contributors
Author:
Richard Gomer
Author:
Gary Wills
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