Biometric based E-security solutions for future digital world

Abstract

In this modern age, the vulnerability of traditional password-based systems in web applications is becoming a larger problem due to security breaches and stolen credentials. This vulnerability is amplified since the general public tend to reuse their passwords across web applications, which may lead to a domino effect of accounts being hacked and accessed without the user’s knowledge. The goal of this project is to introduce a two-factor authentication method that is easy to use, cheap to implement, secure and accurate. This project explores the different biometric techniques to bolster the security of existing web application’s password-based authentication system, through its integration as a two-factor authentication method.

The system for this project is developed using Flask framework with MySQL database. Deep learning models are implemented in the training models for face recognition. The different deep learning models are evaluated based on their performance and their performance determines the ideal deep learning model to be implemented in the project. The result of the web application’s face algorithm shows that the algorithm is successful in restricting access from unauthorized users. However, it faces difficulty in successfully identifying the rightful user when certain features of the face is varied. Nonetheless, face recognition is still an ideal choice for two-factor authentication method as its key features lies in its ease of use, relatively low replicability of biometric data, high accuracy and low cost of implementation.