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UNSW Canberra

ToN_IoT: Telemetry, Operating Systems, and Network Traffic

Industrial IoT
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Abstract

"ToN_IoT is a large-scale dataset featuring heterogeneous data from IoT sensors, operating systems, and network traffic for advanced intrusion detection research in Industry 4.0."

Description

Comprehensive IoT/IIoT Security

The ToN_IoT datasets were collected from a realistic network designed at the Cyber Range and IoT Labs at UNSW Canberra. It integrates data from three distinct layers: IoT, Cloud, and Edge/Fog systems.

Data Sources and Formats

  • Telemetry Data: Logged from 10+ sensors including weather and Modbus protocols in CSV/log formats.
  • Network Traffic: Captured in PCAP and ZEEK logs, simulating DDoS and Ransomware attacks.
  • OS Logs: Detailed audit traces from Windows 7/10 and Ubuntu systems for host-based analysis.

Research Applications

Ideal for training federated learning models and evaluating the efficiency of AI-based security systems across hybrid IoT environments.

View Data Structure

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

Preview on UNSW Canberra

Cite This Dataset 

Moustafa, Nour (2021). ToN_IoT: Telemetry, Operating Systems, and Network Traffic. Sustainable Cities and Society. [Dataset]. UNSW Canberra. https://research.unsw.edu.au/projects/toniot-datasets

Source: UNSW Canberra (2021)

Indexed by IoTDataset.com on Feb 15, 2026

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Related Topics & Keywords

#IIoT #Cybersecurity #Industry 4.0 #Network Traffic #Intrusion Detection

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