Skip to main content
Kaggle

Post-Quantum Cryptography Impact in Industrial IoT

Industrial IoT
Feb 06, 2026
36 views
License

Abstract

"Released in October 2025, this dataset captures performance metrics and network traffic associated with implementing Post-Quantum Cryptography (PQC) in Industrial IoT (IIoT) scenarios. It supports research into the feasibility and overhead of quantum-resistant security protocols on resource-constrained industrial hardware."

Description

Overview

This dataset provides experimental results measuring the performance impact of post-quantum cryptographic algorithms on IIoT communications.

Technical Details

Includes energy consumption metrics, processing latency, and packet overhead for various PQC candidates implemented in industrial controllers.[web:39]

Collection Setup

Experiments were conducted using an industrial IoT testbed simulating typical factory communication patterns under quantum-resistant security schemes.

Recommended Research Tasks

Performance evaluation of PQC for IoT, energy-efficient security design, and industrial protocol optimization for quantum-safe communication.

Access & License

Published on Zenodo. Access Dataset

📊 View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.

Preview on Kaggle

Cite This Dataset

Cruz-Piris, L., Marín-López, A., Alvarez-Campana, M., Sanz, M., & Arroyo, D. (2025). Post-Quantum Cryptography Impact in Industrial IoT. [Dataset]. {Zenodo. https://doi.org/10.5281/zenodo.17316406

Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.

Original source: {Zenodo (2025). Visit official page for more details.

Indexed by IoTDataset.com on Feb 06, 2026

Ready to Start Your Research?

Download this dataset directly from the official repository and start building your next breakthrough project.

Download Dataset

Related Topics & Keywords

Share This Research

More in Industrial IoT

View All