AMQP Network Traffic Dataset: Normal and Malicious IoT Communications

<b>Key Features of the Dataset</b>✔ <b>Real-world IoT Scenario</b>: Traffic collected from a controlled testbed simulating AMQP communication.<br>✔ <b>Malicious Traffic</b>: Includes attack traces such as <b>Man-in-the-Middle (MitM), Brute Force, and Distributed Denial-of-Service (DDoS) attacks</b> against AMQP servers.<br>✔ <b>Normal Traffic</b>: Standard AMQP message exchanges between IoT devices, capturing legitimate communication patterns.<br>✔ <b>PCAP Format</b>: Raw network traffic logs suitable for analysis using <b>Wireshark, Suricata, Bro (Zeek), or custom machine learning models</b>.