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Related Experiment Video

Updated: Dec 6, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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A Secure Privacy Preserving Cloud-based Framework for Sharing Electronic Health Data.

Munachiso Ilokah, J Mikael Eklund

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    Summary
    This summary is machine-generated.

    This study introduces an Attribute-Based Encryption (ABE) framework for secure health data sharing. It enables outsourcing decryption to the cloud, enhancing user privacy and reducing computational load.

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    Area of Science:

    • Health Informatics
    • Cryptography
    • Cloud Computing Security

    Background:

    • Secure sharing of user health data is crucial for research.
    • Cloud storage introduces challenges in data ownership and control.
    • Evolving encryption methods are needed for fine-grained access control.

    Purpose of the Study:

    • To present an Attribute-Based Encryption (ABE) framework for secure health data outsourcing.
    • To enhance the security and privacy of health data in cloud environments.
    • To reduce the computational burden on users for data decryption.

    Main Methods:

    • Implementation of an ABE-based framework.
    • Outsourcing computationally intensive decryption processes to cloud servers.
    • Focus on secure data sharing for research purposes.

    Main Results:

    • Secure outsourcing of health data decryption to cloud servers.
    • Reduced decryption time for end-users.
    • Lowered computational power requirements for users accessing data.

    Conclusions:

    • The proposed ABE framework effectively secures health data in cloud environments.
    • Outsourcing decryption enhances user experience and accessibility.
    • This approach balances data security, privacy, and usability for health research.