Me, Myself, and ID: Towards Usable, Privacy-Preserving, Fraud-Resistant Digital Identity Services for Smartphone Users

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.


Lutaaya, Michael Christopher Kitandwe




Between easy-to-counterfeit physical IDs, the poor adoption of some digital alternatives, and the weak security of others, the need for better identity solutions becomes apparent. As such, this thesis explores how digital identity services can be designed in a usable, secure, and privacy-preserving manner.

Our first user study examines the discoverability of participants' personally identifiable information (PII) to determine what information is suitable for identity proofing. We found that many different types of PII could be obtained by an imposter and that individuals significantly underestimate the risk of said information being available.

Our second user study explores the usability of a prototype digital identity service for smartphone users. We identify and categorize users' perceptions, opinions, and concerns over using this type of service. Our findings highlight the need to support users in developing accurate mental models to avoid usability issues.


Computer Science




Carleton University

Thesis Degree Name: 

Master of Computer Science: 

Thesis Degree Level: 


Thesis Degree Discipline: 

Computer Science

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).