Abstract
The traditional ATM terminal customer recognition systems rely only on bank cards, passwords and such identity verification methods are not perfect and functions are too single. Biometrics-based authentication offers several advantages over other authentication methods, there has been a significant surge in the use of biometrics for user authentication in recent years. This paper presents a highly secured ATM banking system using biometric authentication and wavelet based Advanced Encryption Standard (AES) algorithm. Two levels of security are provided in this proposed design. Firstly we consider the security level at the client side by providing biometric authentication scheme along with a password of 4-digit long. Biometric authentication is achieved by considering the fingerprint image of the client. Secondly we ensure a secured communication link between the client machine to the bank server using an optimized energy efficient and wavelet based AES processor. The fingerprint image is the data for encryption process and 4-digit long password is the symmetric key for the encryption process. The performance of ATM machine depends on ultra-high-speed encryption, very low power consumption, and algorithmic integrity. To get a low power consuming and ultra-high speed encryption at the ATM machine, an optimized and wavelet based AES algorithm is proposed. In this system biometric and cryptography techniques are used together for personal identity authentication to improve the security level. The design of the wavelet based AES processor is simulated and the design of the energy efficient AES processor is simulated in Quartus-II software. Simulation results ensure its proper functionality. A comparison among other research works proves its superiority.
Highlights
Nowadays security becomes a great issue in every part of life
This paper presents a s ecured, ultra-high speed and energy efficient Automated Teller Machines (ATM) banking system that is h ighly secured system co mpared with the existing one
Two basic designs considered throughout this paper are biometric authentication and cryptography (AES)
Summary
Nowadays security becomes a great issue in every part of life. Passing of informat ion faces massive problems due to various types of attacks to the communication lin k. This paper presents a s ecured, ultra-high speed and energy efficient ATM banking system that is h ighly secured system co mpared with the existing one. Th is paper presents security in two ways in which both the fingerprint image for the client side security and the A ES algorith m for the secured communication in between. Based on these perspectives, Advanced Encryption Standard[3] was accepted as a FIPS[4] standard in November 2001, after which A ES became the most popular encryption standard all over the world. An XOR operation is used for high-frequency wavelet coefficients and the encrypted low-frequency wavelet coefficients (as a key stream), so that the image informat ion contained in high-frequency wavelet coefficients is hidden; a wavelet reconstruction is used for spreading the encrypted low-frequency part to the whole image
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