Classification Models for Symmetric Key Cryptosystem Identification

Authors

  • Shri Kant Joint Cipher Bureau

DOI:

https://doi.org/10.14429/dsj.62.1440

Keywords:

Classification, supervised pattern recognition, feature extraction, decision surfaces, discriminant functions

Abstract

The present paper deals with the basic principle and theory behind prevalent classification models and their judicious application for symmetric key cryptosystem identification. These techniques have been implemented and verified on varieties of known and simulated data sets. After establishing the techniques the problems of cryptosystem identification have been addressed.

Defence Science Journal, 2012, 62(1), pp.38-45, DOI:http://dx.doi.org/10.14429/dsj.62.1440

Author Biography

Shri Kant, Joint Cipher Bureau

Dr Shri Kant received his PhD(Mathematics) from Banaras Hindu University. Presently working as Scientist ‘G’ and Coordinator, Joint Cipher Bureau, DRDO, Metcalfe House, Delhi.

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Published

2012-01-23

How to Cite

Kant, S. (2012). Classification Models for Symmetric Key Cryptosystem Identification. Defence Science Journal, 62(1), 38–45. https://doi.org/10.14429/dsj.62.1440

Issue

Vol. 62 No. 1: Cryptology and Communication Security

Section

Special Issue Papers

License

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