kahramankostas/IoTDevID-CIC
Application of IoTDevID to CIC-IoT-2022 dataset
This project helps security analysts and network administrators identify specific IoT devices on their network by analyzing network packet data. It takes raw network traffic (PCAP files) as input and outputs a classification of the IoT devices present, along with performance metrics. The end-users are cybersecurity professionals, network operations specialists, and researchers focused on IoT device security.
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Use this if you need to validate a machine learning approach for identifying IoT devices based on their network behavior or want to apply a proven methodology to new network traffic datasets.
Not ideal if you are looking for an out-of-the-box, real-time IoT device identification system for production environments without any technical setup or data processing.
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MIT
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Last pushed
Oct 23, 2023
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