Serial Number: 106
Year: 2022
Kind of Traffic: Real
Publicly Available: Yes
Count of Records: 54,492 instances
Features Count: 10
No. of citations: 21
Attack Type: Wifi Deauthentication, etc
Download Links: https://ro.ecu.edu.au/ecuworks2022-2026/246/
Abstract: Ahmed and team developed the dataset ECU-IoFT, which captures the wireless Drones network traffic, specifically the Tello drone. The drone was linked to access point of WI-FI and user controls it by corresponding smartphone application to compile this dataset. At the same time, a perpetrator initiated assaults on the drone, executing three distinct types of attacks: a WPA2-PSK Wi-Fi cracking, Tello API exploit, and Wi-Fi deauthentication. The wireless traffic produced during these actions was captured and stored on the attacker's device, resulting in a dataset spanning approximately 3 minutes and comprising 54,492 packets. The dataset is organized in a CSV file which has 10 features of traffic recorded. whether the traffic is normal or linked to an attack is indicated by Label.