A biometric‐based implicit authentication protocol with privacy protection for ubiquitous communication environments.
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| Title: | A biometric‐based implicit authentication protocol with privacy protection for ubiquitous communication environments. |
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| Authors: | Liu, Feng1 (AUTHOR) liufeng@yulinu.edu.cn, Liu, Hongyue2 (AUTHOR), Kannadasan, R.3 (AUTHOR), Jiang, Qi4 (AUTHOR) |
| Source: | International Journal of Communication Systems. 1/10/2025, Vol. 38 Issue 1, p1-10. 10p. |
| Subjects: | Ubiquitous computing, Biometric identification, Matrix multiplications, Wireless communications, Telecommunication |
| Abstract: | Summary: Due to the proliferation of the wireless communication technologies, we are now in the era of ubiquitous computing. People can enjoy services almost in any time and any location based on the mobile intelligent devices. Meanwhile, more and more personal information are transmitted through the network. To protect these sensitive information, authentication and privacy protection are primary concerns in ubiquitous communication environments. However, traditional physical‐based biometric authentication scheme usually requires explicit cooperation of the user, which is inconvenient to the users. In order to solve this problem, a behavior biometric authentication protocol with privacy protection is designed using matrix multiplication and homomorphic encryption for ubiquitous communication environments. The correctness, security, and privacy protection properties are proved with security analysis. Performance evaluation shows that our protocol achieves stronger security and higher communication efficiency compared with other related protocols, which makes it very suitable for ubiquitous communication environments because communication consumes much more energy than computation does in mobile communication. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Communication Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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