Security and Accuracy of Fingerprint-Based Biometrics: A Review

Abstract

Biometric systems are increasingly replacing traditional password-and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two most critical attacks to biometric systems, namely, attacks to the user interface and template databases. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is a hot research topic currently, as well as in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design. Related challenges and current research trends are also outlined in this paper. recognition as an example. In the stage of enrollment, a user presents their finger to the fingerprint sensor and a fingerprint image is acquired by the sensor module. Certain features of the acquired fingerprint image are extracted, and further adapted or transformed to generate template data for the purpose of comparison in the verification stage. In the verification stage, the fingerprint image of a query is collected by the sensor module. The feature representations of the query fingerprint image go through the same process as in the enrollment stage, so as to obtain query data. The query data are then compared with the template data so that a matching outcome is attained.

Assessment of privacy and security perception of biometric technology case study of Kaduna state tertiary academic institutions

“…For example, by touching a surface, someone fingerprint could be captured. 25 A biometric system is susceptible to attack in about eight different points. 26 The vulnerable points of attack are numbered as shown in Figure 2.…”

Integration of Biometrics and Steganography: A Comprehensive Review

“…Fingerprint authentication involves two stages: enrolment and verification [15,16]. During the enrolment stage, a fingerprint image is acquired from a sensor and is then processed in order to extract unique features.…”

Developing an Algorithm for Securing the Biometric Data Template in the Database

“…In their study, the user"s identity is concealed in the thinned fingerprint image during enrollment and a fingerprint template stored in an online database for authentication. They claimed that applying such a system, it is impracticable for the attacker to expose the individuality of the user from stealing the template collected from a compromised online template database [21]. www.ijacsa.thesai.org [51], [53] Matching scores transmission Hill climbs Trusted sensor (Mutual authentication); Secure channel [53], [54], [57] Manipulation of match score Secure channel; Communal authentication between matcher and decision components [53] Component replacement ("yes machine") Significant components [53] Decision Hill climbs Communal Authentication; Secure channel [53], [54], [57] Communication to application Eavesdropping Data Transmitted over an encrypted path/secure [51]- [54] Manipulation of match decision Data Transmitted over an encrypted path [53] Liu et al [22] considered a cryptographic technique of secret transmission encryption to encode a plaintext for multi recipients and hide the recipients" identities.…”