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CIC-YNU-IoTMal 2026 - IoT Malware Analysis Dataset

IoT Security & Intrusion Detection Cybersecurity
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Catalog Summary

"Latest 2026 IoT malware dataset from the Canadian Institute for Cybersecurity (CIC) and Yunnan University, featuring comprehensive malware samples and behavioral analysis data for IoT threat detection research."

Catalog Notes

Dataset Overview

The CIC-YNU-IoTMal 2026 is the newest dataset from the Canadian Institute for Cybersecurity, developed in collaboration with Yunnan University. It focuses on IoT malware analysis and behavioral detection.

Key Features

  • Latest 2026 release from CIC's IoT security research program
  • Comprehensive IoT malware samples and behavioral data
  • Covers multiple IoT device architectures and platforms
  • Supports development of malware detection and classification systems
  • Designed for AI/ML-based threat analysis

Research Applications

  • IoT malware detection and classification
  • Behavioral analysis of IoT threats
  • Machine learning-based security solutions
  • IoT device vulnerability assessment

View Data Structure

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

Preview on University

Cite This Dataset

Canadian Institute for Cybersecurity, & Yunnan University (2026). CIC-YNU-IoTMal 2026. [Dataset]. University of New Brunswick. https://www.unb.ca/cic/datasets/index.html

Source metadata: University of New Brunswick (2026)

Indexed by IoTDataset.com on Mar 20, 2026

Review the Source Record

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

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