Monitoring Connectivity of Internet of Things Device on Zigbee Protocol

Internet of Things (IoT) networks operators may not be fully aware whether each IoT device in their network is functioning safe enough from cyber-attacks. This paper develops an IoT traffic dataset with the purpose of of network traffic analytics to characterize IoT devices, including their typical behaviour mode. We set up an IoT environment/testbed consists of several sensors/nodes and uses Zigbee communication protocol to collect and synthesize traffic traces. Normal dataset and anomaly/attack dataset are built using AES technique. We then perform the traffic analysis using key extraction technique. The analysis approach used in this work provides good results in differentiating anomaly from normal traffic.