University

Cybersecurity Jun 02, 2026

MedBIoT — Medium-Sized IoT Botnet IDS Dataset [83 devices]

IoT botnet IDS dataset using 83 real and emulated devices with Mirai, BashLite, and Torii traffic. Raw PCAP files support botnet and anomaly detection research.

#iot #botnet #intrusion detection #mirai +8 more

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Zenodo

Cybersecurity Apr 13, 2026

IoT-23; Labeled IoT Malware & Benign Traffic [325M Flows, 500+ Hours]

Real IoT malware traffic dataset with 325M labeled network flows from 20 malware and 3 benign device captures over 500+ hours. PCAP and Zeek conn.log formats. Used for IoT botnet detection, malware traffic classification, and ML security research.

#iot #cybersecurity #intrusion-detection #malware +11 more

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University

Cybersecurity Mar 20, 2026

CIC-YNU-IoTMal 2026 - IoT Malware Analysis Dataset

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.

#IoT malware #cybersecurity #CIC #intrusion detection +3 more

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Kaggle

Cybersecurity Feb 19, 2026

RT-IoT2022 - Real-Time IoT Infrastructure Intrusion Detection

A comprehensive dataset derived from real-time IoT infrastructure, designed for intrusion detection research and network security analysis.

#IoT #Cybersecurity #Intrusion Detection #Network Security +4 more

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Kaggle

Cybersecurity Feb 08, 2026

IoT-23: A labeled dataset with malicious and benign IoT network traffic

IoT-23 provides labeled IoT network-traffic captures, including 20 malware scenarios and 3 benign IoT captures, intended to support machine-learning research on IoT security.

#iot #network traffic #malware #benign +2 more

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CIC Repository

Cybersecurity Feb 05, 2026

CICIoT2023: Large-Scale IoT Attack Traffic Dataset

CICIoT2023 is a large-scale, flow-based network traffic dataset capturing real-time benign and malicious communications in an IoT environment composed of 105 physical devices. The dataset captures traffic traces for 33 attack scenarios grouped into seven categories: DDoS, DoS, Reconnaissance, web-based attacks, brute-force attempts, spoofing, and Mirai malware.

#IoT security #intrusion detection #network traffic #flow-based features +5 more

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Kaggle

Cybersecurity Jan 23, 2026

N-BaIoT Dataset - IoT Botnet Attack Detection from Network Traffic

Specialized dataset for detecting IoT botnet attacks using network traffic analysis. Captures behavior of 9 real IoT devices infected with Mirai and BASHLITE malware variants. Ideal for training ML models to identify compromised IoT devices through traffic patterns.

#botnet detection #IoT security #Mirai malware #BASHLITE +5 more

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University

Industrial IoT Jan 22, 2026

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.

#IIoT #cybersecurity #intrusion detection #federated learning +6 more

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Kaggle

Cybersecurity Jan 21, 2026

IoT Blockchain Security Dataset - Threat Mitigation Analysis

1,000 records of simulated IoT network activity with blockchain-based security. Covers DDoS, malware, MITM attacks across device, network, and application layers.

#blockchain #IoT security #DDoS #malware detection +3 more

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University (Canadian Institute for Cybersecurity)

Cybersecurity / IoT Network Security Jan 20, 2026

CICIDS2017 - Comprehensive Network Intrusion Detection Dataset

The most cited cybersecurity dataset worldwide with 2.8+ million network flows capturing 14 types of realistic attack scenarios including DDoS, brute force, botnet, and web attacks alongside benign traffic for advanced intrusion detection systems.

#cybersecurity #intrusion detection #network security #DDoS +11 more

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Stratosphere Lab

Network Security IoT Jan 16, 2026

IoT-23: A Labeled Dataset with Malicious and Benign IoT Network Traffic

Comprehensive dataset from Stratosphere Laboratory containing network traffic from 23 IoT malware captures including Mirai and Torii botnets, with over 325 million labeled connections for cybersecurity research and ML-based threat detection.

#IoT #Malware #Network Traffic #Botnet +5 more

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