Readme CheatSHeet: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet#tables
This project will list the publicly available datasets in IoT domain and other resources that are required to do research in IoT domain
| Dataset Name | Link | Pulished Year | Description |
|---|---|---|---|
| CIC IoT Dataset 2022 | https://www.unb.ca/cic/datasets/iotdataset-2022.html | 2022 | generate a state-of-the-art dataset for profiling, behavioural analysis, and vulnerability testing of different IoT devices with different protocols |
| Dataset of legitimate IoT data | https://www.data.gouv.fr/en/datasets/dataset-of-legitimate-iot-data/ | August 8, 2022 | used to identify anomalies and intrusions using machine learning algorithms and to improve existing detection models. Our dataset is available in two formats: pcap and csv |
| EDGE-IIOTSET | https://ieee-dataport.org/documents/edge-iiotset-new-comprehensive-realistic-cyber-security-dataset-iot-and-iiot-applications | 2022 | new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset |
| ToN-IoT | https://research.unsw.edu.au/projects/toniot-datasets | $ | The TON_IoT datasets are new generations of Industry 4.0/Internet of Things (IoT) and Industrial IoT (IIoT) datasets for evaluating the fidelity and efficiency of different cybersecurity applications based on Artificial Intelligence (AI), i.e., Machine/Deep Learning algorithms. |
| Aposemat IoT-23 | https://www.stratosphereips.org/datasets-iot23 | 2020 | A labeled dataset with malicious and benign IoT network traffic |
| MQTT-IOT-IDS2020 | https://ieee-dataport.org/open-access/mqtt-iot-ids2020-mqtt-internet-things-intrusion-detection-dataset | 2020 | |
| UNSW-NB15 | https://research.unsw.edu.au/projects/unsw-nb15-dataset | $ | $ |
| Bot-IoT | https://research.unsw.edu.au/projects/bot-iot-dataset | $ | $ |
| IoT_botnet | https://archive.ics.uci.edu/ml/datasets/detection_of_IoT_botnet_attacks_N_BaIoT | 2018 | |
| CIC-ToN-IoT | https://staff.itee.uq.edu.au/marius/NIDS_datasets/ | $ | $ |
| Building Automation and Control Systems | https://ieee-dataport.org/documents/dataset-bundle-building-automation-and-control-systems-security-analysis | 2022 | $ |
| X-IIOTID | https://ieee-dataport.org/documents/x-iiotid-connectivity-and-device-agnostic-intrusion-dataset-industrial-internet-things | 2021 | A CONNECTIVITY- AND DEVICE-AGNOSTIC INTRUSION DATASET FOR INDUSTRIAL INTERNET OF THINGS |
| WUSTL-IIOT-2021 | https://ieee-dataport.org/documents/wustl-iiot-2021 | 2021 | $ |
| IOT HEALTHCARE SECURITY DATASET | https://ieee-dataport.org/documents/iot-healthcare-security-dataset | 2021 | $ |
| IOT NETWORK INTRUSION DATASET | https://ieee-dataport.org/open-access/iot-network-intrusion-dataset | 2019 | various types of network attacks in Internet of Things (IoT) environment for academic purpose |
| TCP FIN FLOOD AND ZBASSOCFLOOD DATASET | https://ieee-dataport.org/documents/tcp-fin-flood-and-zbassocflood-dataset | 2021 | Development of an Internet of Things (IoT) Network Traffic Dataset with Simulated Attack Data. |
| ABOUT IOT(INTERNET OF THINGS) | https://www.kaggle.com/datasets/mkthenaturelover/about-iotinternet-of-things?select=IOT SERVICE PROVIDED COMPANIES.jpeg | 2022 | Some figure about IoT devices. Could be useful for presentation |
IOT dataset: https://github.com/thieu1995/iot_dataset
25 IoT dataset: https://hub.packtpub.com/25-datasets-deep-learning-iot/
- Anomaly Detection IoT23: https://github.com/yliang725/Anomaly-Detection-IoT23
- Iot-Cyber-Security-with-Machine-Learning: https://github.com/harshilpatel1799/Iot-Cyber-Security-with-Machine-Learning-Research-Project
- fed_iot_guard: https://github.com/ValerianRey/fed_iot_guard
- BoT IoT: Analysis and Classification of Attacks using Realistic Botnet Dataset in Internet of Things: https://github.com/Aditya-1500/Bot-IoT