English

QT-PUF: Quantum Tunneling Leakage Based PUF for Implantable IoMT Devices

Cryptography and Security 2026-05-22 v1

Abstract

The Internet of Medical Things (IoMT) marks a shift toward decentralized healthcare, enabling continuous monitoring and personalized care through connected wearable and implantable devices. However, ensuring the trust and integrity of these devices themselves remains a major challenge, as physical compromise or counterfeiting can directly endanger patient safety, privacy, and data integrity. This work presents QT-PUF, a gate-tunneling-leakage-based physical unclonable function (PUF) that leverages quantum-mechanical gate leakage resulting from process-induced variations in standard CMOS devices. A differential readout circuit with a pseudo-resistor I-to-V frontend is proposed to convert the picoampere-level leakage variations into digital responses. Unlike existing PUFs such as those based on memory, ring oscillators, or arbiters, which are less suitable for ultralow-power IoMT devices (due to additional circuitry, power overhead, or poor stability), QT-PUF requires no external excitation or stabilization and operates under static bias. Simulation-based measurements for a 65\mathbf{65}~nm CMOS process demonstrate an entropy of 0.9999998\mathbf{0.9999998}, an FHD of 0.5001\mathbf{0.5001}, and an average power (energy) consumption of 96.04\mathbf{96.04}~nW/bit (19.21\mathbf{19.21}~fJ/bit, respectively) at 1.2V\mathbf{1.2\,V} and 35C\mathbf{35\,^{\circ}C} for the proposed PUF. It operates reliably across 0.91.3\mathbf{0.9}\text{--}\mathbf{1.3}~V and 0100C\mathbf{0}\text{--}\mathbf{100\,^{\circ}C} with an average BER below 0.000163\mathbf{0.000163} across 1.01.3\mathbf{1.0}\text{--}\mathbf{1.3}~V and 1070C\mathbf{10}\text{--}\mathbf{70\,^{\circ}C} within the operating conditions of typical implantable devices.

Keywords

Cite

@article{arxiv.2605.22113,
  title  = {QT-PUF: Quantum Tunneling Leakage Based PUF for Implantable IoMT Devices},
  author = {Yueqi Ma and Vivek Mohan and Chip-Hong Chang and Emmanuel M. Drakakis},
  journal= {arXiv preprint arXiv:2605.22113},
  year   = {2026}
}

Comments

The paper has been accepted for presentation at the 2026 IEEE International Symposium on Circuits and Systems in Shanghai