Work place: Department of Mathematics, Mewar University, Chittorgarh, Rajasthan, India
E-mail: ojhdb@yahoo.co.in
Website:
Research Interests: Computer Architecture and Organization, Network Architecture, Network Security, Data Structures and Algorithms
Biography
Deo Brat Ojha, He did his Ph.D from Department of Applied Mathematics, Institute of Technology, Banaras Hindu University, Varanasi (U.P.), India. His field is Optimization techniques, cryptography and network security. He has more than eight years teaching experience & more than nine years research experience. Recently he is working as Professor in the Department of Mathematics, Mewar University, (Rajasthan.), India. He is the author/co-author of more than 100 publications in National/International journals and conferences.
DOI: https://doi.org/10.5815/ijcnis.2013.06.06, Pub. Date: 8 May 2013
In present epoch, secure online access to enterprises resources is very important for any organization. To protect valuable data become one of the big challenge for today's business as enterprise customers or clients involved in business-to-customer (B2C) and business-to-business (B2B) e-commerce need to feel that their transactions are secured from system hackers. Biometric technology provides a solution to this problem in enterprise network security. In this article we enhance the security of online transaction using secure and unique biometric template. The uniqueness of our process is that we store biometric template and password together in encrypted form both without the fusion of score level and decision level, which leads a successful way to combine multiple technologies, different from earlier methods. Password hardened biometric system helps to generate many different secure biometric templates for the same biometric system. It also generates unique biometric templates for multiple biometric systems from the same biometric trait.
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