Prevention of Payment Card Frauds using Biometrics
Ashutosh Singh1, Ranjeet Srivastva2, Yogendra Narain Singh3
1Ashutosh Singh, Department of Computer Science & Engineering, Institute of Engineering & Technology, Lucknow (U.P), India.
2Ranjeet Srivastva, Department of Information Technology, Babu Banarasi Das Northern India Institute of Technology, Lucknow (U.P), India.
3Yogendra Narain Singh, Department of Computer Science & Engineering, Institute of Engineering & Technology, Lucknow (U.P), India.
Manuscript received on 01 October 2019 | Revised Manuscript received on 10 October 2019 | Manuscript Published on 22 October 2019 | PP: 516-525 | Volume-8 Issue-3S October 2019 | Retrieval Number: C11061083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1106.1083S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Digitization era has paved the path for digital economy. The advent of plastic cards such as credit and debit cards facilitate many services and products anytime and anywhere but they suffer with fraudulent attacks. This paper proposes a novel approach for the prevention of payment card frauds using biometrics. The approach works with the existing payment card security system and takes the advantage of biometric recognition technology that serves with a unique ID and bears anindividual’s biometric data like Aadhaar. The integration of biometric verification system with the payment card security system not only strengthens the security of card users but also it ensures the physical presence of card holder at the point of sale. The system like Aadhaar may be successfully linked with the payment card processing system for supplementing identity verification of users and making the environment free from card frauds. The performance of the proposed payment card security system using biometrics shows that the probability of breaching user’s identity is significantly low and found to be in the range of − to − for face, fingerprint and iris recognition.
Keywords: Digital Economy, Payment Card Fraud, Biometrics.
Scope of the Article: Digital Clone or Simulation