An efficient anonymous authentication scheme based on double authentication preventing signature for mobile healthcare crowd sensing

Jinhui Liu, Yong Yu, Yannan Li, Yanqi Zhao, Xiaojiang Du

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

With the widespread growth of cloud computing and mobile healthcare crowd sensing (MHCS), an increasing number of individuals are outsourcing their masses of bio-information in the cloud server to achieve convenient and efficient. In this environment, Cloud Data Center (CDC) needs to authenticate masses of information without revealing owners’ sensitive information. However, tremendous communication cost, storage space cost and checking time cost lead to CDC that give rise to all kinds of privacy concerns as well. To mitigate these issues, To mitigate these issues, we propose a data anonymous batch verification scheme for MHCS based on a certificateless double authentication preventing aggregate signature. The proposed scheme can authenticate all sensing bio-information in a privacy preserving way. We then present that the proposed CL-DAPAS scheme is existentially unforgeable in the Random Oracle Model (ROM) assuming that Computational Diffie-Hellman problem is difficult to solve. Furthermore, we provide an implementation and evaluate performance of the proposed scheme and demonstrate that it achieves less efficient computational cost compared with some related schemes.

Original languageEnglish
Title of host publicationInformation Security and Cryptology - 14th International Conference, Inscrypt 2018, Revised Selected Papers
EditorsFuchun Guo, Moti Yung, Xinyi Huang
Pages626-636
Number of pages11
DOIs
StatePublished - 2019
Event14th International Conference on Information Security and Cryptology, Inscrypt 2018 - Fuzhou, China
Duration: 14 Dec 201817 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11449 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Information Security and Cryptology, Inscrypt 2018
Country/TerritoryChina
CityFuzhou
Period14/12/1817/12/18

Keywords

  • Double authentication preventing signature
  • Elliptic curve discrete logarithm problem
  • Mobile healthcare crowd sensing
  • Privacy
  • Security

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