A secure and efficient certificateless content extraction signature with privacy protection

Author:

Zhao Can,Liu Jiabing,Zheng Fuyong,Wang Dejun,Meng Bo

Abstract

Efficiency and privacy are the key aspects in content extraction signatures. In this study, we proposed a Secure and Efficient and Certificateless Content Extraction Signature with Privacy Protection (SECCESPP) in which scalar multiplication of elliptic curves is used to replace inefficient bilinear pairing of certificateless public key cryptosystem, and the signcryption idea is borrowed to implement privacy protection for signed messages. The correctness of the SECCESPP scheme is demonstrated by the consistency of the message and the accuracy of the equation. The security and privacy of the SECCESPP scheme are demonstrated based on the elliptic curve discrete logarithm problem in the random oracle model and are formally analyzed with the formal analysis tool ProVerif, respectively. Theory and experimental analysis show that the SECCESPP scheme is more efficient than other schemes.

Funder

Fundamental Research Funds for Central Universities of the Central South University

Fundamental Research Funds for the Central Universities, South-Central University for Nationalities

the National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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