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Nature Scientific Data

ICS-NAD: Network Attack Detection in Industrial Control Systems

Industrial IoT (IIoT)
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Abstract

"A large-scale dataset (245GB) collected from real-world industrial control systems for advanced threat detection."

Description

The ICS-NAD dataset provides a rare and comprehensive look into network traffic within real-world Industrial Control Systems (ICS). Published in 2026, it consists of 245.96 GB of data across 272 files. The collection includes raw network traffic in PCAP format and extracted features in CSV format with precise labels for various cyber-physical attacks. It captures the unique communication patterns of industrial protocols (such as Modbus, S7Comm, and OPC UA) and contrasts normal operational baselines with sophisticated attack vectors targeting industrial sensors and actuators. This dataset is crucial for researchers developing anomaly detection models for Critical Infrastructure Protection (CIP) and Industry 4.0 environments.

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

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Cite This Dataset 

Zhou, X., & others (2026). ICS-NAD: Network Attack Detection in Industrial Control Systems. Scientific Data. [Dataset]. Nature Scientific Data. https://doi.org/10.1038/s41597-026-06738-x

Source: Nature Scientific Data (2026)

Indexed by IoTDataset.com on Feb 12, 2026

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Related Topics & Keywords

#IIoT #ICS Security #Critical Infrastructure #PCAP #Anomaly Detection

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