Serial Number: 80
Year: 2021
Kind of Traffic: Real
Publicly Available: Yes
Count of Records: 106.71MB
Features Count: 67
No. of citations: 172
Attack Type: Reconnaissance, exploitation, RDoS, etc .
Download Links: Not Available
Abstract: Al-Hawawreh et.al presented dataset X-IIOTID. X-IIoTID is an innovative intrusion dataset tailored for Industrial Internet of Things (IIoT) environments, designed to accommodate system heterogeneity. It encompasses a wide array of attack types, protocols, and multiview features, meticulously evaluated using machine learning algorithms to advance security solutions. Data collection spans end-to-end network traffic, including physical field devices to edge gateways, and from edge gateways to cloud and enterprise devices. To ensure accurate and comprehensive data capture, a dumpcap tool is installed in the edge gateway (a Raspberry Pi B+ with a 64-GB memory card), periodically capturing network traffic in pcap file format for up to 2 hours. System activity reporter (SAR) tools are employed to gather edge gateway resource data, while OSSEC logs track online mode alerts and edge gateway activities. The dataset captures normal and background traffic alongside attack scenarios, spanning a four-month period from December 5, 2019, to March 23, 2020. Various attack experiments, including Ransom Denial-of-Service (RDoS) and brute force, are conducted repeatedly from 7 January, 2020, to 27 March 2020, showcasing distinct attack vectors such as weaponization, reconnaissance, exploitation, command and control (C&C), lateral movement, crypto ransomware, tampering, RDoS and exfiltration