Open AccessAn improved Framework for Biometric Database’s privacy
Author(s) -
Ahmed El-Yahyaoui,
Fouzia OMARY
Publication year - 2021
Publication title -
international journal of communication networks and information security
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 20
eISSN - 2076-0930
pISSN - 2073-607X
DOI - 10.54039/ijcnis.v13i3.5143
Subject(s) - biometrics , homomorphic encryption , computer science , confidentiality , computer security , biometric data , encryption , information privacy , database
Security and privacy are huge challenges in biometric systems. Biometrics are sensitive data that should be protected from any attacker and especially attackers targeting the confidentiality and integrity of biometric data. In this paper an extensive review of different physiological biometric techniques is provided. A comparative analysis of the various sus mentioned biometrics, including characteristics and properties is conducted. Qualitative and quantitative evaluation of the most relevant physiological biometrics is achieved. Furthermore, we propose a new framework for biometric database privacy. Our approach is based on the use of the promising fully homomorphic encryption technology. As a proof of concept, we establish an initial implementation of our security module using JAVA programming language.