Adaptive Privacy Management System Design For Context-Aware Mobile Devices

Details

Ressource 1Download: BIB_286767BC6D74.P001.pdf (4601.17 [Ko])
State: Public
Version: After imprimatur
Serval ID
serval:BIB_286767BC6D74
Type
PhD thesis: a PhD thesis.
Collection
Publications
Institution
Title
Adaptive Privacy Management System Design For Context-Aware Mobile Devices
Author(s)
Liu Z.
Director(s)
Pigneur Y.
Institution details
Université de Lausanne, Faculté des hautes études commerciales
Address
Faculté des hautes études commerciales (HEC) Université de Lausanne CH-1015 Lausanne SUISSE
Publication state
Accepted
Issued date
11/2014
Language
english
Number of pages
222
Abstract
While mobile technologies can provide great personalized services for mobile users, they also threaten their privacy. Such personalization-privacy paradox are particularly salient for context aware technology based mobile applications where user's behaviors, movement and habits can be associated with a consumer's personal identity.
In this thesis, I studied the privacy issues in the mobile context, particularly focus on an adaptive privacy management system design for context-aware mobile devices, and explore the role of personalization and control over user's personal data. This allowed me to make multiple contributions, both theoretical and practical. In the theoretical world, I propose and prototype an adaptive Single-Sign On solution that use user's context information to protect user's private information for smartphone. To validate this solution, I first proved that user's context is a unique user identifier and context awareness technology can increase user's perceived ease of use of the system and service provider's authentication security. I then followed a design science research paradigm and implemented this solution into a mobile application called "Privacy Manager". I evaluated the utility by several focus group interviews, and overall the proposed solution fulfilled the expected function and users expressed their intentions to use this application. To better understand the personalization-privacy paradox, I built on the theoretical foundations of privacy calculus and technology acceptance model to conceptualize the theory of users' mobile privacy management. I also examined the role of personalization and control ability on my model and how these two elements interact with privacy calculus and mobile technology model. In the practical realm, this thesis contributes to the understanding of the tradeoff between the benefit of personalized services and user's privacy concerns it may cause. By pointing out new opportunities to rethink how user's context information can protect private data, it also suggests new elements for privacy related business models.
Create date
22/11/2014 23:09
Last modification date
20/08/2019 13:07
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