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A robust anonymous biometric-based authenticated key agreement scheme for multi-server environments.
Guo, Hua; Wang, Pei; Zhang, Xiyong; Huang, Yuanfei; Ma, Fangchao.
Affiliation
  • Guo H; Beijing Key Laboratory of Network Technology, Beihang University, Beijing 100191, China.
  • Wang P; Beijing Key Laboratory of Network Technology, Beihang University, Beijing 100191, China.
  • Zhang X; National computer network and information security laboratory, National Computer network Emergency Response technical Team/Coordination Center, Beijing 100029, China.
  • Huang Y; State Key Laboratory of Space-Ground Integrated Information Technology, Beijing 100020, China.
  • Ma F; National computer network and information security laboratory, National Computer network Emergency Response technical Team/Coordination Center, Beijing 100029, China.
PLoS One ; 12(11): e0187403, 2017.
Article in En | MEDLINE | ID: mdl-29121050
ABSTRACT
In order to improve the security in remote authentication systems, numerous biometric-based authentication schemes using smart cards have been proposed. Recently, Moon et al. presented an authentication scheme to remedy the flaws of Lu et al.'s scheme, and claimed that their improved protocol supports the required security properties. Unfortunately, we found that Moon et al.'s scheme still has weaknesses. In this paper, we show that Moon et al.'s scheme is vulnerable to insider attack, server spoofing attack, user impersonation attack and guessing attack. Furthermore, we propose a robust anonymous multi-server authentication scheme using public key encryption to remove the aforementioned problems. From the subsequent formal and informal security analysis, we demonstrate that our proposed scheme provides strong mutual authentication and satisfies the desirable security requirements. The functional and performance analysis shows that the improved scheme has the best secure functionality and is computational efficient.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Computers / Biometric Identification Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Main subject: Computers / Biometric Identification Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Type: Article Affiliation country: China