All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
- Journals
-
- Active Journals
- Find a Journal
- Proceedings Series
-
- Topics
- Information
-
- For Authors
- For Reviewers
- For Editors
- For Librarians
- For Publishers
- For Societies
- For Conference Organizers
- Open Access Policy
- Institutional Open Access Program
- Special Issues Guidelines
- Editorial Process
- Research and Publication Ethics
- Article Processing Charges
- Awards
- Testimonials
-
- Author Services
- Initiatives
-
- Sciforum
- MDPI Books
- Preprints.org
- Scilit
- SciProfiles
- Encyclopedia
- JAMS
- Proceedings Series
-
- About
-
- Overview
- Contact
- Careers
- News
- Press
- Blog
-
Sign In / Sign Up Submit
Journals
Entropy
Volume 26
Issue 8
10.3390/e26080667
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu
Article Menu
- Academic Editor
Mina Sheikhalishahi
- Subscribe SciFeed
- Related Info Link
- More by Authors Links
- Table of Contents
announcement Help format_quote Cite
thumb_up ... Endorse textsms ... Comment
Need Help?
Support
Find support for a specific problem in the support section of our website.
Get Support
Feedback
Please let us know what you think of our products and services.
Give Feedback
Information
Visit our dedicated information section to learn more about MDPI.
Get Information
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
by Lingfeng Wu Lingfeng Wu SciProfiles Scilit Preprints.org Google Scholar Yunhua Wen Yunhua Wen SciProfiles Scilit Preprints.org Google Scholar Jinghai Yi Jinghai Yi SciProfiles Scilit Preprints.org Google Scholar
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
Share and Cite
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.
Article Metrics
Article metric data becomes available approximately 24 hours after publication online.
Cite
Export citation file: BibTeX | EndNote | RIS
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
RSS Content Alert
Further Information
Article Processing Charges Pay an Invoice Open Access Policy Contact MDPI Jobs at MDPI
Guidelines
For Authors For Reviewers For Editors For Librarians For Publishers For Societies For Conference Organizers
MDPI Initiatives
Sciforum MDPI Books Preprints.org Scilit SciProfiles Encyclopedia JAMS Proceedings Series
© 1996-2024 MDPI (Basel, Switzerland) unless otherwise stated
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Terms and Conditions Privacy Policy