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

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

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

Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis

Статья в выпуске: 11 vol.6, 2014 года.

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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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Inimitable, electrocardiogram, dot product, cellular automata, ECG-hash code, randomness, cipher text

Короткий адрес: https://sciup.org/15011354

IDR: 15011354

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