An Efficient‐Secure Patient Authentication Framework Using Wireless Body Sensor Networks in the Healthcare System.

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Title: An Efficient‐Secure Patient Authentication Framework Using Wireless Body Sensor Networks in the Healthcare System.
Authors: Argade, Sachin1 (AUTHOR), Vyavahare, Swapnil2 (AUTHOR) swapnil.vyavahare@gmail.com, Naranje, Vishal3 (AUTHOR), Badadhe, Avinash4 (AUTHOR), Chapke, Yashwant4 (AUTHOR), Mahale, Rayappa4 (AUTHOR)
Source: International Journal of Communication Systems. Dec2025, Vol. 38 Issue 18, p1-17. 17p.
Subjects: Body sensor networks, Authentication (Law), Data encryption, Patient monitoring, Data privacy, Research evaluation, Data integrity
Abstract: Wireless body sensor networks (WBSNs) are increasingly used in healthcare for remote monitoring of patients. Although these systems improve access to medical care, they also face serious challenges related to data security and patient authentication. This study proposes a lightweight and secure authentication framework based on a Three‐Tier Secure Message Authentication Code (TTSMAC) protocol. The framework combines three key techniques: Factorized RSA (FRSA) for efficient key generation, Length Pearson Hashing (LPH) for secure token management, and Dual Secret Key Elliptic Curve Cryptography (DSK‐ECC) for protecting stored data. Experimental results showed that the proposed framework reduces encryption/decryption time, lowers key setup overhead, and achieves higher throughput compared with existing methods. Also, the performance evaluations showed substantial improvements in encryption/decryption times and throughput, demonstrating the framework's suitability for resource‐constrained, battery‐powered wearable sensors. Overall, the framework enhances security, maintains patient data privacy, and ensures reliable authentication for WBSN‐based healthcare applications. [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.)
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DbLabel: Engineering Source
An: 189230782
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  Data: An Efficient‐Secure Patient Authentication Framework Using Wireless Body Sensor Networks in the Healthcare System.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Communication+Systems%22">International Journal of Communication Systems</searchLink>. Dec2025, Vol. 38 Issue 18, p1-17. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Body+sensor+networks%22">Body sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Authentication+%28Law%29%22">Authentication (Law)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+monitoring%22">Patient monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Research+evaluation%22">Research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+integrity%22">Data integrity</searchLink>
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  Data: Wireless body sensor networks (WBSNs) are increasingly used in healthcare for remote monitoring of patients. Although these systems improve access to medical care, they also face serious challenges related to data security and patient authentication. This study proposes a lightweight and secure authentication framework based on a Three‐Tier Secure Message Authentication Code (TTSMAC) protocol. The framework combines three key techniques: Factorized RSA (FRSA) for efficient key generation, Length Pearson Hashing (LPH) for secure token management, and Dual Secret Key Elliptic Curve Cryptography (DSK‐ECC) for protecting stored data. Experimental results showed that the proposed framework reduces encryption/decryption time, lowers key setup overhead, and achieves higher throughput compared with existing methods. Also, the performance evaluations showed substantial improvements in encryption/decryption times and throughput, demonstrating the framework's suitability for resource‐constrained, battery‐powered wearable sensors. Overall, the framework enhances security, maintains patient data privacy, and ensures reliable authentication for WBSN‐based healthcare applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>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.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/dac.70297
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: Body sensor networks
        Type: general
      – SubjectFull: Authentication (Law)
        Type: general
      – SubjectFull: Data encryption
        Type: general
      – SubjectFull: Patient monitoring
        Type: general
      – SubjectFull: Data privacy
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Data integrity
        Type: general
    Titles:
      – TitleFull: An Efficient‐Secure Patient Authentication Framework Using Wireless Body Sensor Networks in the Healthcare System.
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          Name:
            NameFull: Argade, Sachin
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            NameFull: Vyavahare, Swapnil
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            NameFull: Naranje, Vishal
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            NameFull: Badadhe, Avinash
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            NameFull: Chapke, Yashwant
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 38
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