Analysis of Data Anonymization Techniques in Biometric Authentication System
S Harini, R Dharshini, N. Agalya, R. Lakshmi Priya, Ajay Nair · 2023
In today's smart era, recent advances in digital world technologies paved a way to sneak, access, and analyze sensitive personal data like bank transfer details, medical records, and social media activities. This may result in data breach and privacy violations. As a result, the protection of data and privacy management nowadays has become a hard challenge. Many solutions for securing data have been offered as of today, such as biometric authentication systems that use the palm vein throughout the authentication process. Furthermore, by adopting data anonymization techniques, the database records can be rendered anonymous, ensuring that the data is properly protected. It does not, however, provide the essential capacity for data protection against attackers. There is a risk of data/information being leaked to the unauthenticated population. Attackers can manipulate the user's unique authentication identity for stealing data. To overcome this risk, this paper proposes a biometric authentication system by means of retinal recognition, which makes it hard for the attackers to crack it. While comparing palm vein authentication with retinal recognition, retinal recognition stands out as a superior technology—high accuracy, advanced technique, and better positioned for future development in biometric authentication. Furthermore, this paper discusses the implementation of data anonymization techniques in the biometric authentication database records, which makes the data highly impossible to access.