datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TON_IoT_network
TON IoT Network
The TON IoT train test network dataset provided by https://research.unsw.edu.au/projects/toniot-datasets
Dataset Details
The datasets have been called 'ToN_IoT' as they include heterogeneous data sources collected from Telemetry datasets of IoT and IIoT sensors, Operating systems datasets of Windows 7 and 10 as well as Ubuntu 14 and 18 TLS and Network traffic datasets. The datasets were collected from a realistic and large-scale network designed at the… See the full description on the dataset page: https://huggingface.co/datasets/codymlewis/TON_IoT_network.NF-ToN-IoT-v2iot-sensor-telemetry
IoT Sensor Telemetry (Synthetic) (Free Sample)
This is a free sample with 5,003 rows. The full dataset has 50,006 rows across 3 tables.
High-frequency telemetry from a simulated smart factory operating three
CNC lines, a finishing cell, and a predictive-maintenance program over
six months. Covers temperature, humidity, pressure, and vibration sensors
sampled on a rolling 5-minute schedule with realistic shift patterns,
machine assignments, maintenance alerts, and operational state… See the full description on the dataset page: https://huggingface.co/datasets/mindweave/iot-sensor-telemetry.rt-iot2022NF-ToN-IoT-v2.csv
Dataset Card for NF-ToN-IoT Network Flow Dataset
Dataset Description
Dataset Summary
NF-ToN-IoT is a network flow dataset derived from IoT network traffic, containing both benign and attack flows. The dataset was created by converting pcap files from the ToN-IoT testbed into NetFlow records, providing labeled data for training network intrusion detection systems.
Size:
Total flows: 11,858,887
Benign samples: 4,270,402 (36.01%)
Scanning samples: 2,646,685… See the full description on the dataset page: https://huggingface.co/datasets/Hmehdi515/NF-ToN-IoT-v2.csv.Bot-IOT_LLMMOENV_IoT_PM2.5IoT-based-SmartParkingSystem-datasetAbout 2 years of IoT-based smart parking lot usage data collected on ThingSpeak from a system of IR sensor and ESP32 board, which has the slot availability information with respect to timestamps.
created_at = entry timestamp, field1 = parking slot ID, field2 = availability
iot-securityIoT Data Collection
This document provides detailed information about the various data fields collected by the IoT Device with Multiple Sensors. Each field is described along with the type of data it includes.
Data Fields
ALS (Ambient Light Sensor)
Explanation: Measures the ambient light levels around the thermostat.
Data Type: Intensity of light in lux (lumens per square meter).
PIR (Passive Infrared Sensor)
Explanation: Detects motion by measuring the infrared (heat) emitted by objects in… See the full description on the dataset page: https://huggingface.co/datasets/fenar/iot-security.dml-fl-iot-ids
DML-FL IoT IDS Benchmark Results
Results from the paper: Dynamic Multilevel Clustered Federated Learning for IoT Intrusion Detection
Grid (72 total runs)
Dimension
Options
Models
CNN, BiLSTM, CNN+BiLSTM, Transformer (fixed)
FL Algorithms
FedAvg, FedProx, FedNova
Datasets
CICIDS2017, UNSW-NB15, Edge-IIoTset
Distributions
IID, Non-IID (Dirichlet α=0.5)
Clients / Rounds
30 clients / 30 rounds / 3 local epochs
Files
File… See the full description on the dataset page: https://huggingface.co/datasets/JabaleNurAdnan/dml-fl-iot-ids.random-iot-sensor-readings
Random IoT Sensor Readings
8,000 synthetic minute-level IoT sensor readings (temperature, humidity, pressure, status). Purely random, for testing.
Note: This is randomly generated synthetic data with no real-world meaning. Generated for testing and demonstration purposes.
NF-ToN-IoT-Attack_detailsUNSW-IoT
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Mireu-Lab/UNSW-IoT.UNB_CIC_IOT_DatasetNF-ToN-IoT-Metadata_detailsindustrial_iot_predictive_maintenance_telemetryCIC_IoT2023NF-ToN-IoT-benignIOT_Devicepebble
Pebble Tracker
Pebble is a battery-powered, cellular-based, multi-sensor development board designed by IoTeX and Nordic Semiconductor, combining tamper-proof hardware and tamper-proof software to generate verifiable data. Built around Nordic Semiconductor’s latest low-power nRF9160 System-in-Package (SiP) and driven by open-source firmware, Pebble Tracker is equipped with GPS support, a variety of rich sensors, NB-IoT/LTE-M connectivity, and advanced security features that make it… See the full description on the dataset page: https://huggingface.co/datasets/iotexproject/pebble.NS3-IOT-SIMULATIONIot_qa_chatiotid20_datasetdml-fl-iot-ids-baselineDDoSACI-IoT-2023IoTID20_Preprocessed_Fileiot_smart_grid_load_telemetry