Robust Security Enhancement for Smartphone Using Biometric Fingerprint

Authors

  • Dr. D. Bennet  Professor, Department of computer Applications, Anna University, Narayanaguru College of Engineering, Kanyakumari, Tamil Nadu, India

Keywords:

PIN, FRR, FAR, EER and CPS (Cyber-Physical Systems)

Abstract

The tremendous growth of Information and Communication Technology the samatphone take an important role for everyone day to day activity. In which the different level of peoples uses assortment of applications. Huge amount of users use smartphone, at the same time Security in smartphones have come to constitute a competitive platform that connects humans and the surrounding physical world. Along with the communication functions and mobility of cellular phones, smartphones have various sensors in addition to greatly enhanced performances and storage space compared with existing cellular phones. However the “unlock” process of smartphones and the need for user passwords when accessing social network services establish to be great flaw in smartphone security. Therefore, smartphone security should be enhanced through biometrics, which can make up for the shortcomings of passwords and PIN (Personal Identification Number). The proposed fingerprint recognition method to be enhanced the system performance and also to improve the smartphone security. To evaluate the proposed fingerprint recognition method is used in the smartphones, its performance was compared with existing fingerprint verification methods in terms of FAR (False Acceptance Ratio), FRR (False Rejected Ratio) and EER (Equal Error Rate).

References

  1. M. Conti, S. K. Das, C. Bisdikian et al., "Looking ahead in pervasive computing: challenges and opportunities in the era of cyberphysical convergence," Pervasive and Mobile Computing, vol. 8, no. 1, pp. 2–21, 2012.
  2. M. Salehan and A. Negahban, "Social networking on smartphones: when mobile phones become ddictive," Computers in Human Behavior, vol. 29, no. 6, pp. 2632–2639, 2013.
  3. S. Prabhakar and A. K. Jain, Automatic Fingerprint Recognition System, Springer, 2007.
  4. D. Bennet and Dr.S.Arumuga Perumal, "Fingerprint: DWT, SVD Based Enhancement and Significant Contrast for Ridges and Valleys Using Fuzzy Measures" Journal Of Computer Science And Engineering, Volume 6, Issue1, March-2011.
  5. D. Bennet and Dr.S.Arumuga Perumal, "Fingerprint Based Multi-Server Authentication System", Print ISBN: 978-1-4244-8678-6, Digital Object Identifier: 10.1109/ICECTECH. 2011.5941869. Current Version: 07 July 2011.

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. D. Bennet, " Robust Security Enhancement for Smartphone Using Biometric Fingerprint, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.1381-1385, March-April-2018.