RT-IoT2022 - Real-Time IoT Network Security Dataset
Comprehensive real-time IoT infrastructure dataset from UCI. Captures bidirectional network traffic using Zeek monitoring tool. Ideal for IDS development.
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Comprehensive real-time IoT infrastructure dataset from UCI. Captures bidirectional network traffic using Zeek monitoring tool. Ideal for IDS development.
View DatasetThe 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.
View DatasetComprehensive IoT network traffic dataset from an academic environment with 202,085 labeled records capturing benign and malicious activities for cybersecurity and anomaly detection research.
View DatasetRealistic network traffic data containing benign activities and common IoT-targeted attacks like Brute Force, DoS, and Infiltration.
View DatasetComprehensive 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.
View DatasetComprehensive honeypot dataset for analyzing DDoS attacks on IoT devices, containing 10 key attributes from PCAP data converted to CSV format.
View DatasetComprehensive dataset from University of New Brunswick containing over 202,085 network traffic records from IoT devices in academic environment, with classification of benign and malicious activities.
View DatasetReal-time traffic telemetry from inductive loop sensors on urban highways. Includes vehicle count, speed, and lane occupancy.
View DatasetSimulated traffic data from 30 major cities worldwide (2015-2024). Includes patterns, congestion metrics, time-of-day effects, and weather correlations for traffic management systems.
View DatasetLargest publicly available multi-city traffic dataset with 23,541 stationary detectors across 40 cities worldwide. Rich source for traffic dynamics research and urban mobility studies.
View DatasetHigh-resolution traffic flow data from 470 sensors across Glasgow covering 4 years (Oct 2019 - Sep 2023). Captures traffic patterns during COVID-19 pandemic with 15-minute intervals.
View DatasetRealistic benchmark dataset for Internet of Medical Things (IoMT) security research. Captures biomedical sensor data and network traffic from medical devices including ECG monitors, pulse oximeters, and other healthcare IoT equipment.
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