Fingereye: improvising security and optimizing ATM transaction time based on iris-scan authentication
| Autor: | Oludare Isaac Abiodun, Abiodun Esther Omolara, Humaira Arshad, Nachaat AbdElatif Mohamed, Aman Jantan |
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| Rok vydání: | 2019 |
| Předmět: |
050101 languages & linguistics
General Computer Science Biometrics Computer science Iris recognition Iris 02 engineering and technology Login Computer security computer.software_genre Password Shoulder surfing 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Electrical and Electronic Engineering Authentication Biometric Shoulder-surfing Eavesdropping 05 social sciences Transaction time ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS ATM 020201 artificial intelligence & image processing computer |
| Popis: | The tumultuous increase in ATM attacks using eavesdropping, shoulder-surfing, has risen great concerns. Attackers often target the authentication stage where a customer may be entering his login information on the ATM and thus use direct observation techniques by looking over the customer's shoulder to steal his passwords. Existing authentication mechanism employs the traditional password-based authentication system which fails to curb these attacks. This paper addresses this problem using the FingerEye. The FingerEye is a robust system integrated with iris-scan authentication. A customer’s profile is created at registration where the pattern in his iris is analyzed and converted into binary codes. The binary codes are then stored in the bank database and are required for verification prior to any transaction. We leverage on the iris because every user has unique eyes which do not change until death and even a blind person with iris can be authenticated too. We implemented and tested the proposed system using CIMB bank, Malaysia as case study. The Finger Eye is integrated with the current infrastructure employed by the bank and as such, no extra cost was incurred. Our result demonstrates that ATM attacks become impractical. Moreover, transactions were executed faster from 6.5 seconds to 1.4 seconds.. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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