CIC IoT-DIAD 2024: Device Identification & Anomaly Detection
105 IoT devices with 33 attack types (DDoS, DoS, Recon, Brute Force, Spoofing, Mirai) from Canadian Institute for Cybersecurity.
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105 IoT devices with 33 attack types (DDoS, DoS, Recon, Brute Force, Spoofing, Mirai) from Canadian Institute for Cybersecurity.
View Dataset132,000+ real environmental sensor readings with temperature, humidity, pressure for climate monitoring and predictive analytics.
View Dataset123,117 network flow records with 83 features from real IoT devices (MQTT, ThingSpeak, Wipro) including DDoS, SSH brute-force, and Nmap attacks for IDS model training.
View Dataset945 IoT sensor records from IBM's official repo monitoring equipment with pressure measurements for machine failure prediction.
View DatasetHourly air quality measurements from distributed IoT stations across major cities tracking PM2.5, CO2, NO2, and Ozone levels.
View DatasetFill-level data from smart trash bins equipped with ultrasonic sensors to optimize garbage truck collection routes.
View DatasetComprehensive traffic accident data collected via police reporting systems and road sensors across the UK, ideal for predictive safety analysis.
View DatasetSensor logs (accelerometer, temperature) from a 3D printer capturing normal operation vs. various failure modes like nozzle clogging.
View DatasetReadings from solar power inverters paired with local weather station data to predict energy generation efficiency.
View DatasetMulti-sensor data (pressure, temperature, flow) from a hydraulic test rig for fault diagnosis of cooler, valve, pump, and accumulator.
View DatasetStandard precision agriculture dataset using N, P, K, pH, Temperature, and Humidity to recommend the ideal crop type.
View DatasetSensor fusion data correlating urban traffic density with air pollutants (NO2, PM2.5, CO) in major city intersections.
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