The PhD defence will be partially digital, in Kristen Nygaards sal (5370), Ole-Johan Dahls hus and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the attending audience at Kristen Nygaards sal to ask ex auditorio questions.
- Join the disputation
- Download Zoom
- Request a digital copy of the thesis
Trial lecture
Time and place: March 6, 2023 10:15 AM, Kristen Nygaards sal (5370), Ole-Johan Dahls hus/ZOOM
Main research findings
The research in this PhD dissertation focuses on investigating user authentication's accuracy, assurance, and security improvements by introducing high-quality samples and the fusion of biometric modalities while considering privacy implications. The research is based on four research questions, which aim to understand the impact of information fusion, the quality of biometric samples, machine learning, and privacy protection aspects on the recognition accuracy of a biometric system. The research is divided into four main areas:
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A new approach for multi-biometric fusion based on subjective logic is proposed, and its impact on recognition accuracy is evaluated.
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The quality of biometric samples is analyzed, and its impact on recognition accuracy is studied.
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The use of machine learning in biometric authentication systems is examined, and its impact on recognition accuracy is assessed.
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Privacy protection aspects are examined and integrated into a biometric authentication system to enable compliance with GDPR. The findings of this research have been published in reputed journals and conferences and contribute to the field of biometric authentication by significantly increasing the accuracy and reliability of authentication while also addressing privacy concerns.
Ultimately, this work provides a comprehensive approach to improving the security and privacy of biometric authentication systems.
Adjudication committee:
- Professor Patrick Bours, NTNU i Gjøvik , Norway
- Associate Professor Estelle Cherrier, ENSICAEN, GREYC, France
- Associate Professor Silvia Masiero, University of Oslo, Department of informatics
Supervisors
- Professor Audun Jøsang, Department of Informatics, UIO, Norway
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Assistant Professor Magdalena Ivanovska, Department of Data Science and Analytics, BI Norwegian Business School
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Professor Mohammad Derawi, Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, NTNU i Gjøvik
Chair of defence:
Contact information at Department: Mozhdeh Sheibani Harat