AMQP Network Traffic Dataset: Normal and Malicious IoT Communications

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

本数据集的核心特性如下：
• 真实物联网（IoT）场景：采集自受控实验平台的流量数据，用于模拟高级消息队列协议（AMQP，Advanced Message Queuing Protocol）通信过程。
• 恶意流量：包含针对AMQP服务器的各类攻击痕迹，如中间人（MitM，Man-in-the-Middle）攻击、暴力破解攻击以及分布式拒绝服务（DDoS，Distributed Denial-of-Service）攻击。
• 正常流量：记录物联网设备间的标准AMQP消息交互行为，捕获合法通信模式。
• PCAP格式：原始网络流量日志，可通过Wireshark、Suricata、Bro（Zeek）或自定义机器学习模型开展分析工作。