Enhancing Biometric Liveness Detection Using Trait Randomization Technique

Abstract

Biometric Authentication Systems (BAS) have several security benefits over traditional password and token authentication including an inherent difficulty to copy, clone and share or distribute authentication credentials (biometric traits). Spoofing or presentation attack remains a major weakness of biometric systems and tackling it at the trait level is still challenging with several different approaches and methods applied in existing systems. In this paper, we focus on the well-known approach of Suspicious Presentation Detection (SPD) and present the Multi-Modal Random Trait Biometric Liveness Detection System (MMRTBLDS) that further mitigates spoofing or presentations attacks using randomization and combination of several different SPD detection techniques across three different modalities during trait capture. We discuss the detection of life using five distinct properties each from finger, face and eye modalities and present results from a simulation that highlights the improved security based on an impostor's inability to accurately predict the combination of trait liveness properties the system might prompt and test for during capture.

Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission

“…Furthermore, some fingerprint biometric systems are capable of liveness detection [115,[118][119][120], which is the ability to verify that the finger presented to the scanner is a natural, live human finger possessing all the attributes of vitality, including the presence of normal human temperature, normal pulse beat rate, and natural blood flow. With these systems, the use of gloves could operationally return a "fake finger detected" result due to the inanimate nature of the glove.…”

Optimization of Multi-user Face Identification Systems in Big Data Environments

“…Several published kinds of research deal with such problems. On one hand, some published approaches tackle security issues whom we can cite [7], [8] that implemented Biometric antispoofing technique by using the trait randomization technique.…”

Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission (Preprint)

“…The use of gloves is therefore not a suitable means of controlling disease transmission by fingerprint systems. Furthermore, some fingerprint biometric systems are capable of liveness detection [115,[118][119][120], which is the ability to verify that the finger presented to the scanner is a natural, live human finger possessing all the attributes of vitality, including the presence of normal human temperature, normal pulse beat rate, and natural blood flow. With these systems, the use of gloves could operationally return a "fake finger detected" result due to the inanimate nature of the glove.…”