Abstract
A smart city is engineered to be a self-sustained ecosystem driven by Internet-of-Things (IoT) devices. Smooth functioning of smart cities is conditioned on seamless communication between users and devices. Smart devices equipped with biometric authentication can offer security as well as personalized experience to the end users. Currently, a number of smart devices employ face, fingerprint, and voice modalities for user verification. However, the biometric data acquired by these devices can be digitally manipulated or tampered with, that can compromise the security of the smart environment. Further, the preponderance of biometric data such as face and voice in social media applications, necessitates the validation of their integrity. In this work, we review state-of-the-art digital forensic schemes for audio-visual biometric data that can be leveraged by applications designed for smart cities.
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