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A Microfluidic-based Electrochemical Biochip for Label-free DNA Hybridization Analysis
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Design-for-Trust Techniques for Digital Microfluidic Biochip Layout With Error Control Mechanism⋆*A preliminary

Debasis Gountia, Sudip Roy

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |January 26, 2021
    PubMed
    Summary

    This study introduces a secure method for protecting digital microfluidic (DMF) biochip layouts against cyber threats. The proposed authentication and error control mechanism enhances data security and speeds up the process.

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    Area of Science:

    • Biotechnology and Biomedical Engineering
    • Cybersecurity
    • Microfluidics

    Background:

    • Microfluidic biochips offer high sensitivity and reconfigurability for healthcare and lab-on-a-chip applications.
    • Increasingly unreliable networks and evolving cyber threats make microfluidic biochips vulnerable to attacks.
    • Securing these sensitive systems is crucial to protect confidential data and ensure system integrity.

    Purpose of the Study:

    • To present security measures for digital microfluidic (DMF) biochip layouts.
    • To protect the confidentiality of layout data against unauthorized access and man-in-the-middle attacks.
    • To propose an integrated authentication and error control mechanism for DMF biochip layout files.

    Main Methods:

    • Development of an authentication and error control mechanism for Graphical Design System (GDS) files used in DMF biochip layouts.
    • Implementation of the Advanced Encryption Standard (AES) with a 256-bit encryption key for data protection.
    • Simulation and performance analysis to evaluate the efficacy and efficiency of the proposed security model.

    Main Results:

    • The proposed security model effectively protects the confidentiality of DMF biochip layout data.
    • The mechanism provides reliability, authentication, and safety for GDS file storage and communication.
    • The scheme demonstrates a speedup of 6.0 times (85% efficiency) compared to prior methods, without impacting bioprotocol completion time.

    Conclusions:

    • The developed security model offers robust protection for DMF biochip layouts against cyber threats.
    • The proposed approach enhances the trustworthiness and safety of DMF biochip data.
    • This work contributes to establishing a secure layout design flow for DMF biochips, improving resistance to attacks.