Serial Number: 93
Year: 2021
Kind of Traffic: Real
Publicly Available: Yes
Count of Records: 23 files
Features Count: 44
No. of citations: 397
Attack Type: Scanning attack, DoS, DDoS, MITM, etc
Download Links: https://research.unsw.edu.au/projects/toniot-datasets
Abstract: This is the new generation of network traffic, operating system, & IOT/IIOT dataset. TON-IOT dataset is named because of heterogeneity of data sources which were collected in 2021 from telemetry datasets of network traffic, operating system datasets of windows 10 & 7 ubuntu 14.04 & 18.04 TLS, IOT & IIOT sensors. It was developed at the IOT Lab of yhe UNSW Canberra cyber, the school of engineering and information technology (SEIT), UNSW Canberra and was simulated on large and real testbed network that have the property of NVF SDN, & SO to allow communication between layers of fog, edge & cloud. There is a labelled data of attack & normal events. TON-IOT network dataset includes 22339021 records. There are 23 csv files, which were extracted using Zeek tool, 43 attributes and 2 attributes of class label are present in each file in the form of pcap files. Dataset is divided into train and test set. There are nine attack categories such as DOS, scanning, DDOS, backdoor, Ransomware, Cross-site scripting, injection, man in the middle & password cracking attacks.