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Entropy
Volume 26
Issue 8
10.3390/e26080667
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Open AccessArticle
by Lingfeng Wu SciProfiles Scilit Preprints.org Google Scholar Yunhua Wen SciProfiles Scilit Preprints.org Google Scholar Jinghai Yi SciProfiles Scilit Preprints.org Google Scholar 
Lingfeng Wu
, Yunhua Wen and Jinghai Yi
1
School of Computer Science and Technology, Donghua University, Shanghai 201620, China
2
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
*
Author to whom correspondence should be addressed.
†
This paper is an extended version of our paper published in the 2023 IEEE 9th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), New York, NY, USA, 6–8 May 2023.
Entropy 2024, 26(8), 667; https://doi.org/10.3390/e26080667 (registeringDOI)
Submission received: 13 June 2024 / Revised: 27 July 2024 / Accepted: 1 August 2024 / Published: 5 August 2024
(This article belongs to the Special Issue Information Security and Data Privacy)
Abstract
Remote data backup technology avoids the risk of data loss and tampering, and has higher security compared to local data backup solutions. However, the data transmission channel for remote data backup is not secure, and the backup server cannot be fully trusted, so users usually encrypt the data before uploading it to the remote server. As a result, how to protect this encryption key is crucial. We design a User-Centric Design (UCD) data backup scheme based on multi-factor authentication to protect this encryption key. Our scheme utilizes a secret sharing scheme to divide the encryption key into three parts, which are stored in the laptop, the smart card, and the server. The encryption key can be easily reconstructed from any two parts with user’s private information password, identity and biometrics. As long as the biometrics has enough entropy, our scheme can resist replay attacks, impersonation user attacks, impersonation server attacks, malicious servers and offline password guessing attacks.
Keywords: data backup scheme; multi-factor authentication; user-centric deaign; secret sharing scheme
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MDPI and ACS Style
Wu, L.; Wen, Y.; Yi, J. A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication. Entropy 2024, 26, 667. https://doi.org/10.3390/e26080667
AMA Style
Wu L, Wen Y, Yi J. A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication. Entropy. 2024; 26(8):667. https://doi.org/10.3390/e26080667
Chicago/Turabian Style
Wu, Lingfeng, Yunhua Wen, and Jinghai Yi. 2024. "A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication" Entropy 26, no. 8: 667. https://doi.org/10.3390/e26080667
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
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MDPI and ACS Style
Wu, L.; Wen, Y.; Yi, J. A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication. Entropy 2024, 26, 667. https://doi.org/10.3390/e26080667
AMA Style
Wu L, Wen Y, Yi J. A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication. Entropy. 2024; 26(8):667. https://doi.org/10.3390/e26080667
Chicago/Turabian Style
Wu, Lingfeng, Yunhua Wen, and Jinghai Yi. 2024. "A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication" Entropy 26, no. 8: 667. https://doi.org/10.3390/e26080667
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
Entropy, EISSN 1099-4300, Published by MDPI
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