Chaotic Laser PUF Data for Authentication Algorithm Evaluation

19.0 MB of source data supporting a manuscript on physical unclonable functions. The ZIP archive contains files with optical spectra, performance metrics, correlation matrices, and attack simulation results for chaotic vertical-cavity surface-emitting lasers. The data was authored by Zhican Zhou and last updated on 2026-05 14.

Use Cases

• Evaluating authentication algorithm performance based on classification accuracy and robustness metrics.
• Analyzing device-to-device variability and key separability based on correlation matrices and Hamming distance distributions.
• Assessing system robustness against spoofing attacks based on generative model evaluation and attack simulation data.
• Studying the impact of environmental variations on device stability based on FFT spectra under temperature drift and power cycling.

Strengths

• Data is structured for direct use in generating manuscript figures and analyses.
• Covers multiple analysis dimensions including spectral comparisons, performance metrics, and attack simulations.
• Includes specific metrics like Hamming distance, Lyapunov exponents, and minimum entropy for security evaluation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Zhican Zhou.

Collection Method

Experimental data from chaotic vertical-cavity surface-emitting lasers, likely generated for supplementary analysis.

Time Range

null

Freshness

Last updated 2026-05-14 07:01:11; freshness should be verified.

Geography

null