Accepted · IEEE SMC 2026
A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices
Overview
This work develops a unified authentication framework for heterogeneous IoT devices using physical unclonable functions (PUFs). Open-set recognition identifies enrolled devices while rejecting impostors, without requiring helper data.
Method
Responses from Arbiter, SRAM, DRAM, and heterogeneous PUFs are encoded as images for an OpenGAN-based classifier. A generic authentication protocol combines the classifier with hybrid encryption and Bloom filter-based replay detection.
Evaluation
Experiments report 100% closed-set accuracy and near-zero open-set error rates for the evaluated fleets of up to 45 devices. A Raspberry Pi prototype completes an authentication cycle within 0.67 seconds. The local PDF is the public arXiv manuscript; the acceptance status follows the publication record.
| PUF type | Enrolled devices | Closed-set accuracy | False acceptance rate | False rejection rate |
|---|---|---|---|---|
| Heterogeneous | 45 | 100% | 0.44% | 0.43% |
| Arbiter | 25 | 100% | 0.35% | 0% |
| SRAM | 40 | 100% | 0.13% | 0.62% |
| DRAM (noisy) | 3 | 100% | 0.33% | 2.04% |
- physical unclonable functions
- IoT authentication
- open-set recognition
- OpenGAN
- hardware security
Citation
@inproceedings{wang2026openpuf,
title={A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices},
author={Xin Wang and Peichun Hua and Chip Hong Chang and Wenye Liu and Yue Zheng},
booktitle={IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
year={2026},
organization={IEEE}
}