The Journal of Supercomputing

, Volume 72, Issue 10, pp 3826–3849 | Cite as

A privacy preserving three-factor authentication protocol for e-Health clouds

  • Qi Jiang
  • Muhammad Khurram Khan
  • Xiang Lu
  • Jianfeng Ma
  • Debiao He
Article

Abstract

E-Health clouds are gaining increasing popularity by facilitating the storage and sharing of big data in healthcare. However, such an adoption also brings about a series of challenges, especially, how to ensure the security and privacy of highly sensitive health data. Among them, one of the major issues is authentication, which ensures that sensitive medical data in the cloud are not available to illegal users. Three-factor authentication combining password, smart card and biometrics perfectly matches this requirement by providing high security strength. Recently, Wu et al. proposed a three-factor authentication protocol based on elliptic curve cryptosystem which attempts to fulfill three-factor security and resist various existing attacks, providing many advantages over existing schemes. However, we first show that their scheme is susceptible to user impersonation attack in the registration phase. In addition, their scheme is also vulnerable to offline password guessing attack in the login and password change phase, under the condition that the mobile device is lost or stolen. Furthermore, it fails to provide user revocation when the mobile device is lost or stolen. To remedy these flaws, we put forward a robust three-factor authentication protocol, which not only guards various known attacks, but also provides more desired security properties. We demonstrate that our scheme provides mutual authentication using the Burrows–Abadi–Needham logic.

Keywords

Authentication Password Biometrics Anonymity Privacy E-Health Cloud computing 

Notes

Acknowledgments

This work is supported by National Natural Science Foundation of China (Program Nos. 61202389, U1405255, U1135002, 61572379, 61372075, 61472310), National High Technology Research and Development Program (863 Program) (Program No. 2015AA011704), Fundamental Research Funds for the Central Universities (Program No. JB140302), Natural Science Foundation of Hubei Province of China under Grant 2015CFB257, the PAPD fund, and Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET). Sincere appreciations are also extended to the Deanship of Scientific Research at King Saud University for funding this Prolific Research Group (PRG-1436-16).

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Qi Jiang
    • 1
    • 2
  • Muhammad Khurram Khan
    • 3
  • Xiang Lu
    • 4
  • Jianfeng Ma
    • 1
  • Debiao He
    • 5
  1. 1.School of Cyber EngineeringXidian UniversityXi’anChina
  2. 2.School of Computer and SoftwareNanjing University of Information Science and TechnologyNanjingChina
  3. 3.Center of Excellence in Information AssuranceKing Saud UniversityRiyadhKingdom of Saudi Arabia
  4. 4.State Key Laboratory of Information Security, Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  5. 5.School of Computer Science and TechnologyWuhan UniversityWuhanChina

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