IoT Emulated Dataset for ICMP/Ping Normal and Malicious Traffic

These datasets are related to Intrusion Detection System, Computer Network Traffic and IoT. These datasets are generated for the purpose of differentiating <strong>ICMP/Ping normal and malicious traffic </strong>that are generated from an embedded device (IoT). The differentiation analysis is done using machine learning. There are three types of files that depend on each module of our research framework. The publication reference will be placed here when published. The data generation sequence is as follows: The <strong>pcap files </strong>(network traffic) are generated first, the device used to generate the data is an ESP-01s. Afterwards, the pcap files are transformed into <strong>log files </strong>using the Zeek tool, the log files are then extracted and placed into <strong>CSV files</strong>. The CSV files are labeled and ready for the Machine Learning process. The code link: https://zenodo.org/badge/latestdoi/619245496