Bio-FP: Biochip Fingerprints for Authentication

Navajit Singh Baban, Sohini Saha, Sofija Jancheska, Jiarui Zhou, Sanjairaj Vijayavenkataraman, Sukanta Bhattacharjee, Young-Ak (Rafael) Song, Krishnendu Chakrabarty, Ramesh Karri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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%.

Original languageEnglish (US)
Title of host publicationBioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350300260
DOIs
StatePublished - 2023
Event2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023 - Toronto, Canada
Duration: Oct 19 2023Oct 21 2023

Publication series

NameBioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings

Conference

Conference2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023
Country/TerritoryCanada
CityToronto
Period10/19/2310/21/23

Keywords

  • biochip
  • counterfeiting
  • deep learning
  • fingerprints
  • intellectual property
  • melt electrospinning

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Clinical Neurology
  • Neurology

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