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Enhancing Co-packaging Optics Enabled Silicon Photonics Security Assurance Hardware Fingerprinting

Optics 2026-06-26 v1 Computer Vision and Pattern Recognition Image and Video Processing

Abstract

Silicon photonics enables integration of optical components using standard semiconductor processes, greatly improving data communication bandwidth and energy efficiency. However, photonics integrated circuits (PICs) face unique security challenges, such as counterfeit or tampering threats, that conventional electronic security methods do not address. We propose a novel hardware fingerprinting technique that embeds two dimensional photonic crystal patterns into the density control filler regions of a PIC. Each PhC pattern is designed to resonate a specific visible to near infrared wavelengths, producing a distinctive optical signature (based on wavelength, polarization, and incident angle) for each device. Finite difference time domain (FDTD) simulation using ANSYS Lumerical is employed to optimize nanostructure dimensions and spacing so that each device's reflection/absorption spectrum contains unique narrowband peaks. No extra fabrication steps or materials are required beyond standard lithography, keeping costs low. The embedded nanostructures have sub-50nm precision, making forgery extremely difficult. Our method yields a high resolution, scalable fingerprint for silicon photonic chips, enabling cost-effective device authentication and improved supply chain security.

Cite

@article{arxiv.2606.27612,
  title  = {Enhancing Co-packaging Optics Enabled Silicon Photonics Security Assurance Hardware Fingerprinting},
  author = {Liton Kumar Biswas and M Shafkat M Khan and Himanandhan Reddy Kottur and Hao Wang and Hamed Dalir and Navid Asadizanjani},
  journal= {arXiv preprint arXiv:2606.27612},
  year   = {2026}
}

Comments

Author manuscript version of paper published in IMAPSource Proceedings 2025. Final published version available through IMAPS. 6 pages

R2 v1 2026-07-22T20:10:51.010Z