Jayanti Dansana

Work place: Computer Science and Engineering Department, KIIT University, Bhubaneswar, 751024, India

E-mail: jayantidansana486@gmail.com


Research Interests: Computer systems and computational processes, Distributed Computing, Data Mining, Data Structures and Algorithms


Jayanti Dansana has completed her M.Tech from Utkal University, Odisha in 2008.Currently she is working as Assistant Professor in School Of Computer Engineering, KIIT University, Bhubaneswar, Odisha. Her research area is Data Mining, Distributed System. Her publication included around 5 to 10 papers in the area of Data Mining.

Author Articles
Cellular Automata based Encrypted ECG-hash Code Generation: An Application in Inter-human Biometric Authentication System

By Subrata Nandi Satyabrata Roy Jayanti Dansana Wahiba Ben Abdessalem Karaa Ruben Ray Shatadru Roy Chowdhury Sayan Chakraborty Nilanjan Dey

DOI: https://doi.org/10.5815/ijcnis.2014.11.01, Pub. Date: 8 Oct. 2014

In this modern era, biometrics incorporate various mechanisms to recognize inimitable features of human beings by utilizing their biological and evident features. This paper proposes a novel technique for constructing a resilient and secure biometric recognition system. In this paper, an ECG-hash code of two distinct individuals has been formed by taking dot product of electrocardiogram (ECG) feature matrices of two persons located at two different sites at respective databases. The validity of the system increases as samples from both persons, between whom the transmission takes place, are essential. Besides, electrocardiogram is such a unique feature of an individual that could not be compromised at any circumstance as contradictory to other features like fingerprints, face recognition etc. Moreover, the ECG-hash code is encrypted using rule vector of cellular automata that gives better security in terms of randomness of generated cipher text.

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