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Related Experiment Videos

A compressive sensing based secure watermark detection and privacy preserving storage framework.

Qia Wang, Wenjun Zeng, Jun Tian

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 12, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a secure cloud framework for watermark detection and data storage. It uses compressive sensing and secure multiparty computation to protect multimedia privacy during processing.

    Related Experiment Videos

    Area of Science:

    • Computer Science
    • Cryptography
    • Information Security

    Background:

    • Data privacy is a major concern in cloud computing.
    • Simultaneous secure watermark detection and private data storage are needed.

    Purpose of the Study:

    • To propose a framework for secure watermark detection and private multimedia data storage in the cloud.
    • To protect data privacy during cloud-based processing.

    Main Methods:

    • A compressive sensing (CS)-based framework utilizing secure multiparty computation (MPC) protocols.
    • Multimedia data and watermark patterns are processed in the CS domain for privacy.
    • MPC protocols protect CS matrix and watermark privacy under the semi-honest security model.

    Main Results:

    • Derived expected watermark detection performance in the CS domain.
    • Validated theoretical performance through experiments.
    • Demonstrated the feasibility of secure watermark detection in the CS domain.

    Conclusions:

    • The proposed CS-based framework enables secure watermark detection and private data storage in the cloud.
    • The framework can be extended to other secure collaborative signal processing and data-mining applications.