Work place: Department of Computer Science and Engineering SRM University, Sonepat, Haryana, India
E-mail: ajaysharma.j@ncr.srmuniv.ac.in
Website:
Research Interests: Information Security, Network Security, Information-Theoretic Security
Biography
Ajay Sharma, He did his Master of Technology (CSE) from Guru Jambheswar University of Science and Technology, Hisar (Haryana), India in 2004 and pursuing Ph.D. from Singhania University, Pacheri Beri, (Rajasthan), India. His major field of study is cryptography and network security. His current research area is cryptographic protocol, symmetric encryption, asymmetric encryption and biometric template security. He has more than eight years teaching experience. Recently he is working as Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering, SRM University, Haryana, India. He is the author/co-author of more than 30 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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