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A Lightweight and Anonymous Mutual Authentication Scheme for Medical Big Data in Distributed Smart Healthcare

Sangjukta Das, Suyel Namasudra

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
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    Summary

    This study introduces a lightweight authentication scheme to secure Big Data in smart healthcare systems. The proposed method enhances patient data privacy and prevents unauthorized access, improving system security.

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    Area of Science:

    • Computer Science
    • Healthcare Technology
    • Cybersecurity

    Background:

    • Big Data technologies are crucial for advancements in smart healthcare, industrial automation, and distributed systems.
    • Distributed smart healthcare systems face significant security risks, including unauthorized access to patient Big Data and control of Internet of Things (IoT) devices.
    • Malicious alteration of patient healthcare Big Data can have severe consequences, potentially leading to patient harm or death.

    Purpose of the Study:

    • To propose a lightweight, privacy-preserving user authentication scheme for distributed smart healthcare systems.
    • To address the vulnerabilities associated with unauthorized access and data manipulation in healthcare Big Data.
    • To enhance the security and integrity of patient health information within connected healthcare environments.

    Main Methods:

    • Development of a novel lightweight user authentication scheme.
    • Implementation of a secure session establishment protocol for authorized users.
    • Inclusion of a password protection mechanism for data access control.

    Main Results:

    • The proposed scheme effectively prevents unauthorized access to the healthcare system.
    • It establishes secure sessions, ensuring only legitimate users can access and modify patient healthcare Big Data.
    • Security analysis demonstrates the scheme's efficiency and robustness compared to existing methods.

    Conclusions:

    • The developed authentication scheme offers a viable solution for securing Big Data in distributed smart healthcare.
    • It significantly enhances privacy preservation and protects against data breaches and manipulation.
    • The scheme is more efficient and secure than current state-of-the-art solutions for healthcare Big Data security.