Abstract
Biometric systems gather information from the person's biometric attributes, used extensively to authorize the individuals. Due to the obvious convenience of using specific individual traits such as face, fingerprints, palm veins, and irises, biometric authentication is becoming more common. In particular, Iris systems are in high demand for high-assurance applications, because they contain a broad feature set and remain stable. Authentication methods based on iris biometrics are now commonly used in a variety of fields. This is due to the fact that iris biometric authentication is both safer and more comfortable than conventional passwords. Template Security is a major concern in biometric systems. The template security mechanism ensures reusable, permanent, and un-linkable models. The Fuzzy Vault strategy is one of the most popular security schemes for Template protection.
 Fuzzy vault has demonstrated to be an effective protection method but lacks revocability and security attacks. This article introduced an improved fuzzy vault system. The improved fuzzy vault system was introduced, which uses more than one key to protect biometric data. Different keys make the search space more detailed. The additional key was used to encrypt vault data, which stopped the intruder from accessing the information on the person's biometry. The system was tested using CASIA.v1 and IITD.v1 datasets, and findings showed that the system ensures the protection and authentication of the iris templates without compromising performance. The proposed modification gave a 0.0 % False Accepted Rate (FAR) for both the dataset and False Rejected Rate (FRR), 0.14 % for CASIA v1 and 0.12 % for ITTD v1 False Rejected rate
Highlights
Motivation: Biometrics is a social identity analysis to authenticate or identify substance characters
The simulation parameters used for implementation are presented
It analyzes the attack by brute force and the attack by correlation to show the consistency of the proposed method
Summary
Motivation: Biometrics is a social identity analysis to authenticate or identify substance characters. Identification of biometrics people by their biological attributes, including fingerprint, iris, retina, hand anatomy, face, palm scanning or some forms of actions such as signature, gesture, and voice. Biometric technology requires massive biometric volumes template construction data that causes severe privacy leakage [1, 2]. Biometric authentication offers excellent protection because, instead of smart cards or text passwords, biometric forgery or fraud is very difficult to lose or forget. Biometric security and safety are widely used, primarily due to the precision and uniqueness of biometric features such as Iris. The safe security of biological templates caught the attention of people [1]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
