Extending a Framework for Biometric Visual Cryptography.

CANS(2018)

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摘要
Recently, a general framework to help assess the security of extended biometric visual cryptographic schemes (e-BVC) was proposed, formalizing the notion of perfect resistance against false authentication. In this paper, we extend this framework with respect to indistinguishability and index privacy notions. Based on our definitions, we present theoretical analysis of e-BVC schemes and propose new attack strategies. We show that the general framework can be applied to derive new and quantifiable upper bounds on the security of e-BVC schemes. We also discuss the practical impact of our attacks in detail and present several case analyses for a recent implementation of a face recognition protocol.
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