Skip to main content
Kaggle

Post-Quantum Cryptography Impact in Industrial IoT

Industrial IoT & Predictive Maintenance Industrial IoT
171 views
1 min read
License
Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"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."

Catalog Notes

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). Measuring the impact of post-quantum cryptography in industrial IoT scenarios: Software and Dataset. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.17316406

Source metadata: Zenodo (2025) · DOI: 10.5281/zenodo.17316406

Indexed by IoTDataset.com on Feb 06, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

Browse all Industrial IoT & Predictive Maintenance datasets

Share This Research

More in Industrial IoT & Predictive Maintenance

View All
Industrial IoT Zenodo

IEC 60870-5-104 Intrusion Detection Dataset — Smart Grid Cyberattacks [1.1 GB]

Smart-grid IDS dataset with labelled IEC 60870-5-104 and TCP/IP flow statistics plus PCAP files across 12 cyberattack scenarios. CSV and PCAP formats.

Jun 02, 2026
Industrial IoT Zenodo

DNP3 Intrusion Detection Dataset — Industrial SCADA Cyberattacks [194.9 MB]

Industrial IoT IDS dataset with labelled TCP/IP and DNP3 flow statistics plus PCAP files for 9 SCADA cyberattacks. CSV and PCAP formats for ML/DL IDS research.

Jun 02, 2026
Industrial IoT University

Edge-IIoTset - Comprehensive Cyber Security Dataset for IoT and IIoT

Realistic cybersecurity dataset with 14 attack types from 10+ IoT/IIoT device types including sensors, actuators, and industrial controllers. Supports centralized and federated learning with 61 optimized features.

Jan 22, 2026
Industrial IoT Kaggle

IoT-Integrated Predictive Maintenance Dataset

Time-series sensor readings from industrial machines for predictive maintenance and anomaly detection applications.

Feb 19, 2026
Industrial IoT Kaggle

IoT based Industrial Power Generation and Distribution Monitoring Dataset

Industrial IoT dataset for efficient monitoring and control of power generation and distribution processes in smart grid applications with real-time fault detection capabilities.

Feb 08, 2026
Industrial IoT Kaggle

Voice To Shell: IoT Maintenance Task Datasets

Published in October 2025, this dataset includes command logs and sensor feedback for an SLM-based assistant designed for IoT maintenance tasks. It bridges voice commands with shell-level operations in industrial environments, facilitating the training of AI assistants for hardware management.

Feb 06, 2026

Explore other topics

All topics →