Abstract
"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."
Description
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 UniversityCite This Dataset
Canadian Institute for Cybersecurity, & Yunnan University (2026). CIC-YNU-IoTMal 2026 - IoT Malware Analysis Dataset. [Dataset]. University of New Brunswick. https://www.unb.ca/cic/datasets/index.html
Source: University of New Brunswick (2026)
Indexed by IoTDataset.com on Mar 20, 2026
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