An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine

Telemedicine diagnosis has become a more flexible and convenient way to receive diagnoses, which is of great significance in enhancing diagnosis, cutting costs, and serving remote users. However, telemedicine faces many security problems, such as the complexity of user authentication, the balance of...

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Main Authors: Yishan Wu, Mengxue Pang, Jianqiang Ma, Wei Ou, Qiuling Yue, Wenbao Han
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/7/2118
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author Yishan Wu
Mengxue Pang
Jianqiang Ma
Wei Ou
Qiuling Yue
Wenbao Han
author_facet Yishan Wu
Mengxue Pang
Jianqiang Ma
Wei Ou
Qiuling Yue
Wenbao Han
author_sort Yishan Wu
collection DOAJ
description Telemedicine diagnosis has become a more flexible and convenient way to receive diagnoses, which is of great significance in enhancing diagnosis, cutting costs, and serving remote users. However, telemedicine faces many security problems, such as the complexity of user authentication, the balance of the existing biometric factor authentication scheme, the unpredictability of user behavior, and the difficulty of unified authentication due to the differences in the security standards and authentication mechanisms of different trust domains, which affect the sustainable development of telemedicine. To address the above issues, this paper presents an identity management scheme based on multi-factor authentication and dynamic trust evaluation for telemedicine. Its authentication combines iris recognition for secure biometric verification, smart cards for encrypted credential storage, and static passwords for supplementary verification, addressing scenarios like facial coverage in medical settings. The scheme dynamically adjusts authentication based on attack rates, login anomalies, and service durations. By integrating ShangMi cryptographic algorithms and blockchain, it optimizes performance, achieving 35% lower communication overhead than previous protocols. A security analysis shows it resists impersonation, man-in-the-middle, and password modification attacks while preserving user anonymity. System evaluation meets authoritative standards, validating its practicality. This scheme balances security and efficiency, providing a strong basis for telemedicine’s long-term viability.
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spelling doaj-art-0a49d6fce23d442ab8ef92091efb78ca2025-08-20T02:15:54ZengMDPI AGSensors1424-82202025-03-01257211810.3390/s25072118An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for TelemedicineYishan Wu0Mengxue Pang1Jianqiang Ma2Wei Ou3Qiuling Yue4Wenbao Han5School of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, ChinaTelemedicine diagnosis has become a more flexible and convenient way to receive diagnoses, which is of great significance in enhancing diagnosis, cutting costs, and serving remote users. However, telemedicine faces many security problems, such as the complexity of user authentication, the balance of the existing biometric factor authentication scheme, the unpredictability of user behavior, and the difficulty of unified authentication due to the differences in the security standards and authentication mechanisms of different trust domains, which affect the sustainable development of telemedicine. To address the above issues, this paper presents an identity management scheme based on multi-factor authentication and dynamic trust evaluation for telemedicine. Its authentication combines iris recognition for secure biometric verification, smart cards for encrypted credential storage, and static passwords for supplementary verification, addressing scenarios like facial coverage in medical settings. The scheme dynamically adjusts authentication based on attack rates, login anomalies, and service durations. By integrating ShangMi cryptographic algorithms and blockchain, it optimizes performance, achieving 35% lower communication overhead than previous protocols. A security analysis shows it resists impersonation, man-in-the-middle, and password modification attacks while preserving user anonymity. System evaluation meets authoritative standards, validating its practicality. This scheme balances security and efficiency, providing a strong basis for telemedicine’s long-term viability.https://www.mdpi.com/1424-8220/25/7/2118telemedicinemulti-factor authenticationShangMi cryptographic algorithmsdynamic trust evaluation
spellingShingle Yishan Wu
Mengxue Pang
Jianqiang Ma
Wei Ou
Qiuling Yue
Wenbao Han
An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine
Sensors
telemedicine
multi-factor authentication
ShangMi cryptographic algorithms
dynamic trust evaluation
title An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine
title_full An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine
title_fullStr An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine
title_full_unstemmed An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine
title_short An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine
title_sort identity management scheme based on multi factor authentication and dynamic trust evaluation for telemedicine
topic telemedicine
multi-factor authentication
ShangMi cryptographic algorithms
dynamic trust evaluation
url https://www.mdpi.com/1424-8220/25/7/2118
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