Face Morphing Attack Detection: Privacy and Digital Sovereignty Issues, Methods and Future Direction

Abstract

This chapter examines the privacy threat facing face recognition and morphing detection systems using the LINDUUN framework as the methodology. It describes various aspects of privacy issues that may hamper safe and secured operation of face recognition and morphing attack detection systems. Digital sovereignty issues affecting the systems are also examined with recommendations on actions to be taken to safeguard privacy and digital sovereignty of the systems. A new taxonomy of the approaches being used for the detection of face morphing attacks is presented. The privacy and digital sovereignty concerns related to the detection methods are elicited with recommendations to alleviate them. The findings reflect that critical privacy and digital sovereignty issues are present in the domain of face recognition and morphing detection systems. Therefore, these expositions will influence policy makers and researchers to address the issues and also utilized the recommendations for further research.