|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- text-classification |
|
|
- token-classification |
|
|
- feature-extraction |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- IoT |
|
|
- Security |
|
|
- pcap |
|
|
- network |
|
|
- traffic |
|
|
- Network Attack |
|
|
- IPS |
|
|
pretty_name: IoT security dataset |
|
|
size_categories: |
|
|
- 100M<n<1B |
|
|
--- |
|
|
This dataset is generated from dataset Edge-IIoTset (covert and label pcap files to json format) for research purpose. |
|
|
|
|
|
You can download Edge-IIoTset from https://ieee-dataport.org/documents/edge-iiotset-new-comprehensive-realistic-cyber-security-dataset-iot-and-iiot-applications |
|
|
|
|
|
1. pcap-json.tar.gz: Json format (without labels) for pcap files of Edge-IIoTset. |
|
|
2. dataset.tar.gz: Json format (with labels) for pcap files of Edge-IIoTset. |
|
|
|
|
|
Research for https://github.com/jim-xie-cn/Research-SSPE-COPA |
|
|
1. sample.tar.gz: Selected samples for AI model training and testing. |
|
|
2. features.tar.gz: Selected feature for AI model training and testing. |
|
|
2. performance.tar.gz: AI model evaluation result. |