Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT Applications

Datasets as described in the research paper "Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT Applications".There are two main dataset provided here, firstly is the data relating to the initial training of the machine learning module for both normal and malicious traffic, these are in binary visulisation format, compresed into the document traffic-dataset.zip.The remainin data is provided by this repository in attackScenario.zip and attackSenarioImages.zip, thee are the images generated from each of the five attack scenario packet captures, as well as their associated PCAP files.

本数据集如研究论文《基于网络流量分析与机器学习的物联网应用入侵检测》中所述。这里提供两类主要数据集：其一为机器学习模块初始训练所用的正常与恶意流量数据，该数据采用二进制可视化格式，压缩至文档traffic-dataset.zip中；剩余数据由本仓库通过attackScenario.zip与attackSenarioImages.zip提供，包含从五种攻击场景数据包捕获中生成的图像及其关联的PCAP文件。