Abstract

Cancelable and hybrid biometric cryptosystems are two techniques used to offer protection against the security and privacy challenges faced by users of biometric authentication systems. The main objective of this paper is to present a critical review of current and emerging trends as well as open research issues in cancellable and hybrid biometric systems. The study examines cancelable biometrics under two main categories, namely non-invertible transformation and biometric salting. It also explores hybrid cryptosystems as means of providing improved template security and user privacy. The review focusses on the modes of operation, performance accuracy, security and privacy of various types of cancellable and hybrid biometric cryptosystems. It also provides a more comprehensive survey of latest research works in cancellable and hybrid biometric cryptosystems than existing review papers in these fields. The paper will provide readers with up-to-date information on current directions and open research issues in cancelable and hybrid biometric cryptosystems.

Highlights

  • Cancelable and hybrid biometric cryptosystems are two techniques used to offer protection against the security and privacy challenges faced by users of biometric authentication systems

  • Biometric cryptosystems or template protection schemes apply techniques from the domain of cryptography and biometrics to address the security and privacy issues related to the use of biometrics as an authentication mechanism

  • This paper explored the current directions and open research issues in cancellable and hybrid biometric cryptosystems

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Summary

Introduction

Cancelable and hybrid biometric cryptosystems are two techniques used to offer protection against the security and privacy challenges faced by users of biometric authentication systems. The study examines cancelable biometrics under two main categories, namely noninvertible transformation and biometric salting It explores hybrid cryptosystems as means of providing improved template security and user privacy. This results in loss of identity as an intruder may impersonate the legitimate owner of the biometric during enrolment and authentication The enormity of these challenges makes it imperative for practical biometric systems to provide adequate protection for stored templates and privacy for legitimate users. The goal of cancelable biometrics is to provide diversity and unlinkability by using different transforms for different applications involving the same set of users This prevents collision among templates of the same subjects stored in different biometric databases. Both methods apply specific transformation parameters to a biometric feature vector in order to obtain its transformed version

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