International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

Frequency: 12

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 Volume 5, Issue 1 (January 2018), Pages: 66-72

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 Original Research Paper

 Title: Biometric covert acquisition protection by enhancing sweat glands and cryptography

 Author(s): Noor-Ul-Qamar *, Kamran Mustafa

 Affiliation(s):

 Computer Science Department, Lahore Garrison University, Lahore, Pakistan

 https://doi.org/10.21833/ijaas.2018.01.009

 Full Text - PDF          XML

 Abstract:

Various biometric technologies were developed and effectively used around the world which includes fingerprints, face, iris, palm-print, speech and signatures. Fingerprints are most preferred mainly due to low cost of algorithms and sensors. Spoof attacks and template leakage are the major vulnerabilities to biometric authentication system. A biometric authentication plan with template protection is an opposition to almost all types of adversaries. If someone's biometric template which is stored in the database of the system is compromised, it might result in identification theft of that person. In this paper template protection scheme with security approaches and effective preventions regarding spoof attacks are proposed having possible secure authentication through detection of sweat glands and application of cryptography techniques. 

 © 2017 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Covert, Spoof attacks, Rejection of service, Biometric cryptosystems, Template protection scheme

 Article History: Received 25 July 2017, Received in revised form 19 October 2017, Accepted 19 November 2017

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.01.009

 Citation:

 Ul-Qamar N and Mustafa K (2018). Biometric covert acquisition protection by enhancing sweat glands and cryptography. International Journal of Advanced and Applied Sciences, 5(1): 66-72

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I1/Noor.html

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