Multilevel Network Protection Based On Iris Biometric | 4681
ISSN: 2155-952X

Journal of Biotechnology & Biomaterials
Open Access

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Multilevel network protection based on iris biometric

3rd World Congress on Biotechnology

Rajni Bala

Posters: Agrotechnol

DOI: 10.4172/2155-952X.S1.020

Network protection and safety of data have been of great anxiety and a subject of research over the years. There are many different forms of cryptographic mechanisms like Triple DES, AES, MD5 proposed to guarantee data security. In an arrangement, the success of the algorithm depends on the time taken of the key that user uses. It is observed that due to expediency of remembering the key, users use short keys. This increases the weakness of the data. In this work we propose a exceptional confirmation and encryption technique using IRIS biometric pattern of a person. At the time of registration to the network, a person?s IRIS is scanned and create templates of the image are generated using Vision Assistant 2009. Server stores this key iris template as users Identity or password. To transfer data to another user, first IRIS pattern is generated, it is sent to the server, server authenticates the user by comparing the incoming IRIS code with the one saved in database by using Vision script file is create. A long time ago valid, user is allowed to swap information over the network. Every information is now be encrypted using the receivers IRIS template. The success of the technique depends upon the pattern matching score is maximum generated. There is always an error margin of 5% to 10% when IRIS template is generated which may result in an unsuccessful authentication. This paper presents a fast and efficient iris image enhancement algorithm. A database of fingerprint images has been collected from 80 different individuals. This method was tested on all these images in the database using the NI Vision Assistant 2009 and NI LabVIEW (Laboratory Virtual Instrument Engineering Workbench) toolbox version 2009.
Rajni Bala has been pursuing her M. tech at the age of 23 years in batch 2010-2012 from SLIET Longowal College (Deemed University) and her research in biometric field on Iris and Palm using LABVIEW 2009. She is the lecturer in poly technical college. She has published more than 7 papers in reputed conferences.