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Reseach Article

Dependent Private Key Generation in NTRU Cryptosystems

Published on December 2011 by Rakesh Nayak, Jayaram Pradhan, C.V. Sastry
Network Security and Cryptography
Foundation of Computer Science USA
NSC - Number 3
December 2011
Authors: Rakesh Nayak, Jayaram Pradhan, C.V. Sastry
1b8907f9-87b0-4ab7-abeb-8185730fac02

Rakesh Nayak, Jayaram Pradhan, C.V. Sastry . Dependent Private Key Generation in NTRU Cryptosystems. Network Security and Cryptography. NSC, 3 (December 2011), 18-21.

@article{
author = { Rakesh Nayak, Jayaram Pradhan, C.V. Sastry },
title = { Dependent Private Key Generation in NTRU Cryptosystems },
journal = { Network Security and Cryptography },
issue_date = { December 2011 },
volume = { NSC },
number = { 3 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 18-21 },
numpages = 4,
url = { /specialissues/nsc/number3/4337-spe033t/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Network Security and Cryptography
%A Rakesh Nayak
%A Jayaram Pradhan
%A C.V. Sastry
%T Dependent Private Key Generation in NTRU Cryptosystems
%J Network Security and Cryptography
%@ 0975-8887
%V NSC
%N 3
%P 18-21
%D 2011
%I International Journal of Computer Applications
Abstract

Many of the public key cryptosystems deal with two-party communication keeping confidentiality and authentication as primary goals. However there are many applications like banking that require multi-party communication. In bank, we keep valuable articles in lockers. We need two dependent keys to open the locker. In corporate sector it may be thought of as multi-party communication. RSA provided multi-party communication using shared key approach. But the overhead of RSA seem to be more because it has to choose n pairs of numbers such that the summation of these numbers is a large prime number. This needs to be done without revealing the shares of the numbers [1, 2].

References
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Index Terms

Computer Science
Information Sciences

Keywords

Encryption Polynomial Matrix