The Point-to-Point Protocol (PPP)

Abstract

B iometric recognition is an integral component of modern identity management and access control sys- tems. Due to the strong and permanent link between individuals and their biometric traits, exposure of enrolled users’ biometric information to adversaries can seriously compromise biometric system security and user pri- vacy. Numerous techniques have been proposed for biometric template protection over the last 20 years. While these techniques are theoretically sound, they seldom guarantee the desired Digital Object Identifier 10.1109/MSP.2015.2427849 Date of publication: 13 August 2015 noninvertibility, revocability, and nonlinkability properties without significantly degrading the recognition performance. The objec- tive of this work is to analyze the factors contributing to this per- formance divide and highlight promising research directions to bridge this gap. The design of invariant biometric representations remains a fundamental problem, despite recent attempts to address this issue through feature adaptation schemes. The diffi- culty in estimating the statistical distribution of biometric features not only hinders the development of better template protection algorithms but also diminishes the ability to quantify the nonin- vertibility and nonlinkability of existing algorithms. Finally, achieving nonlinkability without the use of external secrets (e.g., passwords) continues to be a challenging proposition. Fur- ther research on the above issues is required to cross the chasm between theory and practice in biometric template protection.