Facial Biometric for Securing Hardware Accelerators

This talk presents a facial biometric based hardware security methodology to secure hardware accelerators (such as digital signal processing (DSP) and multimedia intellectual property (IP) cores) against ownership threats/IP piracy. In this talk, we discuss how an IP vendor’s facial biometrics is first converted into a corresponding facial signature representing digital template, followed by embedding facial signature’s digital template into the design in the form of secret biometric constraints; thereby generating a secured hardware accelerator design. We also discuss the results that report qualitative and quantitative analysis of the biometric fingerprint approach.