Serial Number: 104
Year: 2021
Kind of Traffic: Synthetic
Publicly Available:
Count of Records: 39.1GB
Features Count: 40+
No. of citations: 13
Attack Type: DoS,DDoS,Botnet, Scanning
Download Links: https://www.unb.ca/cic/datasets/enricheddataset.html
Abstract: Erfani et.al presented dataset BOTIOTTONIOT. This dataset amalgamates two prominent IoT datasets, BoT-IoT and TonIoT. This merging is justified by shared cybersecurity attack types (DDoS, Scanning, DoS) and five common IoT devices: smart fridge, weather station, remote garage door motion-activated lights, and smart thermostat. All experiments are conducted within identical environments. BoT-IoT and TonIoT offer 33 and 22 features respectively, with 12 features in common. The dataset employs PCAP files from both sources, supplemented by 40 new features proposed by the authors to enhance attack classification. Visualization and dimensionality reduction techniques such as t-SNE are utilized to compare datasets with and without these additional features, facilitating deeper insights into attack patterns and behaviors