Biometric Spoofing and Deepfake Detection

Abstract

Biometrics have increasingly become most suited mechanisms for identification and authentication in the use of diverse technologies and systems. However, much they prove to be more robust than other identification and authentication mechanisms, there is also an upsurge with privacy and security concerns. With AI being at the forefront of our technological advancement, it has been to our advantage and also, somehow to our detriment. People are constantly deriving ways to either trick biometric sensors to crack and bypass these authentication protocols. The practice of these nefarious activities ranges from creating fake videos or images for spreading hate, political expediency, embarrassing celebrities etc. This paper seeks to delve to the nooks and crannies of the subject matter to provide a vivid understanding in this regard and also throws light on a few areas where there exists the need for more research. Keywords: Biometrics, Spoofing, Deepfakes, Deepfake Detection, Africa, Cybersecurity. BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free Citation: Yaw Amoah-Yeboah (2022): Biometric Spoofing and Deepfake Detection Book Chapter Series on Research Nexus in IT, Law, Cyber Security & Forensics. Pp 279-284 www.isteams.net/ITlawbookchapter2022. dx.doi.org/10.22624/AIMS/CRP-BK3-P45