Enhanced ATM Security using Biometric Authentication and Wavelet Based AES
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...
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20164206003 |
| _version_ | 1818616337755275264 |
|---|---|
| author | Sreedharan Ajish |
| author_facet | Sreedharan Ajish |
| author_sort | Sreedharan Ajish |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T16:48:12Z |
| format | Article |
| id | doaj.art-e7fcd4478d9649c8a98721618026f3a8 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T16:48:12Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-e7fcd4478d9649c8a98721618026f3a82022-12-21T22:24:07ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01420600310.1051/matecconf/20164206003matecconf_iccma2016_06003Enhanced ATM Security using Biometric Authentication and Wavelet Based AESSreedharan Ajish0Assistant professor, Department of Computer Science and Engineering, College of Engineering PerumonThe 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.http://dx.doi.org/10.1051/matecconf/20164206003 |
| spellingShingle | Sreedharan Ajish Enhanced ATM Security using Biometric Authentication and Wavelet Based AES MATEC Web of Conferences |
| title | Enhanced ATM Security using Biometric Authentication and Wavelet Based AES |
| title_full | Enhanced ATM Security using Biometric Authentication and Wavelet Based AES |
| title_fullStr | Enhanced ATM Security using Biometric Authentication and Wavelet Based AES |
| title_full_unstemmed | Enhanced ATM Security using Biometric Authentication and Wavelet Based AES |
| title_short | Enhanced ATM Security using Biometric Authentication and Wavelet Based AES |
| title_sort | enhanced atm security using biometric authentication and wavelet based aes |
| url | http://dx.doi.org/10.1051/matecconf/20164206003 |
| work_keys_str_mv | AT sreedharanajish enhancedatmsecurityusingbiometricauthenticationandwaveletbasedaes |