NDLI: A cryptographic approach to prevent a spoof attack for secure information retrieval in a biometrie system

Content Provider	IEEE Xplore Digital Library
Author	Hosur, R. Hatture, S.M. Karchi, R.P.
Copyright Year	2012
Description	Author affiliation: Department of CSE, Basaweshwar Engineering College, Bagalkot - 587102, Karnataka, India (Hosur, R.; Hatture, S.M.) \|\| Department of MC A, Basaweshwar Engineering College, Bagalkot - 587102, Karnataka, India (Karchi, R.P.)
Abstract	Biometrie technologies' have become the basis for highly secure identification and personnel verification in authentication and identification systems, based on the physical identifiable details or behavioral characteristics which cannot be imposter easily. Hence, the system has been treated to be the tough security measures to identify the user being genuine by avoiding the third party attack. But these systems are unable to judge whether the user who is providing the required authentication details is an impostor or genuine. To eliminate this flaw in biometrie based security systems, the model proposed in this paper can be embedded in existing security systems to prevent the spoof attack. The proposed model comprises of two independent models namely Cryptographic based authentication system (model 1) and Text prompted authentication system (model 2). Model 1 has been designed by the most efficient cryptographic algorithm RSA which generates a secret key by using a pseudo-random number given by user for secure system access. In model 2, the user is made interactive with the system by prompting a question from a set of 15 questions, and authenticating the user with the help of correct answer provided by user. To provide higher level of security, MD5 (Message Digest 5) algorithm is integrated with RSA. The developed models provide promising level of security along with a biometrie trait.
Starting Page	326
Ending Page	331
File Size	339560
Page Count	6
File Format	PDF
ISBN	9781467348065
e-ISBN	9781467348058
DOI	10.1109/WICT.2012.6409097
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems AntiSpoofing Biometrie traits Communications technology User Authentication Aliveness Detection Cipher text Secured data
Content Type	Text
Resource Type	Article

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