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ICAS: Two-factor identity-concealed authentication scheme for remote-servers

delete2021-08-01
delete9
PRE
AI
M
Md Jakir Hossain
C
Chunxiang Xu *
C
Chuang Li
S
Saifuddin Mahmud
X
Xiaojun Zhang
W
Wanpeng Li
DOI:10.1016/j.sysarc.2021.102077delete
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Abstract

Abstract

En 中文
As the number of users in remote server environments is more prevalent (i.e., in e-payment, e-healthcare), a secure authentication scheme becomes increasingly important for this paradigm. In general, single-factor authentication in remote-systems suffers from several security issues, whereas multi-factor authentication can be considered as an alternative solution where additional factors increase the security level. However, in existing multi-factor authentication schemes, leakage of randomness and identity-concealment are not well considered; these can cause privacy issues in some application scenarios. In this paper, we propose a two factor-based identity-concealed authentication scheme refer to as ICAS. ICAS ensures secure authentication between the user and remote server even if some intermediate randomness (e.g., Diffie-Hellman exponent) has been exposed to an adversary, prevents users' identity against adversaries, can resist perpetual leakage of confidential information, and provide a strong security guarantee against device lost attacks. We define a proper security model in the random oracle and prove the security of ICAS under the model. We provide a comprehensive performance evaluation, which shows that ICAS is efficient. Specifically, the proposed scheme reduces the total computation cost by at least 24% and reduces the user's communication cost by at least 4%; thereby, ICAS is feasible to deploy in the practical environment.
Keywords:
Two-factor authentication
Identity-concealment
Remote server
Intermediate randomness

Journal

Journal of Systems Architecture cover
Journal of Systems Architecture
IF:
4.1
Papers:
3.0K
Citations:
4.2K

Organization

M
Manchester Metropolitan University
Scholars:
4.4K
Papers: 5.0K
Citations: 6
S
Southwest Petroleum University
Scholars:
1.4W
Papers: 7.8K
Citations: 8.5K