Serial Number: 108
Year: 2022
Kind of Traffic: Simulated + Real
Publicly Available: Yes
Count of Records: llMillion packets, 1GB
Features Count: 61
No. of citations: 529
Attack Type: DoSZDDoS, MITM, etc
Download Links: https://ieee-dataport.org/documents/edge-iiotset-new-comprehensive-realistic-cyber-security-dataset-iot-and-iiot-applications
Abstract: Ferrag and colleagues constructed a comprehensive hybrid testbed for generating and capturing network traffic in both IoT and IIoT domains, Extending across various abstraction layers. incorporating orchestrating services, down to the lower perception layer involving IIoT and IoT actuators and sensors, along with intermediary mediator layers. There are 13 actuators and sensors, including sound, water level and temperature sensors, as well as DC motors and servo, among others in perception layer. They outfitted their testbed to produce the dataset Edge-IIoTset to make IIoT dataset suitable for Federated Learning. The dataset comprises both malicious and benign traffic spanning various protocols based on IP, including protocols of application layer such as DNS, MQTT, Modbus, and HTTP. Although Traffic was not continuous, it spanned 50 days. The dataset offers complete captures of packets in PCAP format. To generate attack traffic, a total of 14 attacks were implemented during collection phase. Subsequently, 61 features were extracted from the traffic, which also include the labels for the attacks.