NDLI: Analysis and Design of Protocol for Enhanced Threshold Proxy Signature Scheme Based on RSA for Known Signers

Content Provider	Springer Nature Link
Author	Kumar, Raman Verma, Harsh Kumar Dhir, Renu
Copyright Year	2014
Abstract	Many threshold proxy signature schemes are proposed in which the t out of n threshold schemes are deployed; but they still lack the property of security. In this research paper, secret sharing proxy signature could permit the shares of designated signers, called proxy signers, renew their own proxy shares periodically without changing the secret. In particular, our scheme applies the (t, n) threshold proxy signature scheme and allows any t or more then t signers to form a designated group from n proxy signers to sign messages on behalf of the original signer. In the proposed scheme, furthermore, a proxy signer can recover his/her own share from t other proxy shares without revealing any information about other proxy shares. Unless more than t other proxy signers cooperate and collude, the secret share algorithm is always secure. We compare the performance of four schemes: Hwang et al., Wen et al., Geng et al. and Fengying et al. with the performance of a scheme that has been proposed by the authors of this article earlier. In the proposed scheme, both the combiner and the secret share holder can verify the correctness of the information that they are receiving from each other. Therefore, the enhanced threshold proxy signature scheme is secure and efficient against notorious conspiracy attacks.
Starting Page	1281
Ending Page	1345
Page Count	65
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	80
Issue Number	3
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2014-10-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Proxy signature Threshold scheme Lagrange coefficient Secret sharing Protocol for enhanced threshold proxy signature scheme RSA cryptosystem for known signers Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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