Bio-FP: Biochip Fingerprints for Authentication.

2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)(2023)

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摘要
Microfluidic biochips are widely used in biological computing, clinical diagnostics, and point-of-care tests. However, the growing demand and the complex supply chain of biochips expose them to intellectual property (IP) attacks such as counterfeiting, overbuilding, and piracy. To address this issue, we present a biochip-level fingerprinting (Bio-FP) scheme. We utilize melt-electrospinning printing technique to print unique Bio-FPs directly onto biochips. Then, a layer of polydimethylsiloxane (PDMS) is applied through spin-coating to obscure the Bio-FPs. If the Bio-FPs are doped with a fluorescent dye, they can be detected by shining UV light. Authentication of dyed Bio-FPs is achieved through spectral analysis by mapping the intensitywavelength response. To optimize the authentication scheme for Bio-FPs, several pre-processing techniques were employed to enhance their quality. Additionally, transfer learning and finetuning were utilized with multiple deep learning models, yielding a high Bio-FP classification accuracy of 95.8%.
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关键词
biochip,fingerprints,melt electrospinning,deep learning,intellectual property,counterfeiting
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