Securing Cardless Automated Teller Machine Transactions Using Bimodal Authentication System
| Autor: | Olayemi Mikail Olanyi, Olumide Sunday Adewale, Ameh Innocent Ameh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Engineering Authentication Repossession business.industry Fingerprint (computing) Hash function 0211 other engineering and technologies Fingerprint Verification Competition 02 engineering and technology Computer security computer.software_genre Education Personal identification number 0202 electrical engineering electronic engineering information engineering Code (cryptography) 020201 artificial intelligence & image processing Safety Risk Reliability and Quality business Law Safety Research computer Hacker |
| Zdroj: | Journal of Applied Security Research. 11:469-488 |
| ISSN: | 1936-1629 1936-1610 |
| DOI: | 10.1080/19361610.2016.1211846 |
| Popis: | In today's corporate environment, it is important to ensure that only authorized customers have access to offered services. With the availability of ready-to-use sniffers and access code hacking tools, the standard card and Personal Identification Number combination may no longer be sufficient to withstand the test of secure authentication. Additionally, the huge and recurrent card possession and repossession cost incurred by banks' customers, occasioned by card expiry, loss, theft, and damage is, agreeably, undesirable. In this article, we present the development of a bimodal customer authentication system for a cardless Automated Teller Machine (ATM). The system employs the principle of eigenvectors and Euclidean distance for fingerprint verification. The Personal Identification Number (PIN), which serves as the second factor of authentication, is determined on account opening and hashed using the truncated SHA 512/256 Secure Hashing Algorithm. Analysis of the system performance shows genuine ac... |
| Databáze: | OpenAIRE |
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