# ZigBeeNet: Decrypted Zigbee IoT Network Traffic Dataset in Smart Home Environment
###### Abstract
For example, latency analysis to improve network performance; anomalous traffic detection and testing of encryption protocols to find security vulnerabilities; and traffic density and distribution analysis, data flow types, payload content, etc., to model traffic or generate Zigbee traffic. The investigation of network traffic characteristics plays a major role in these analyses. For this reason, we believe that our dataset will serve a wider area than the purpose of the existing datasets (energy depletion attacks and network security, Zigbee network security of smart homes, and intrusion detection systems). It also allows for a deep understanding of Zigbee network traffic and IoT device behaviors and to study the network structure. Our main motivation for studying the traffic characteristics of the network is the development of the Zigbee traffic generator and its critical role in testing and evaluating network systems. A realistic IoT traffic generator can simulate various traffic scenarios, providing researchers with a controlled environment in which to test network protocols, security features, and the performance of IoT devices without requiring extensive physical deployment. For example, there is a study that emphasizes the problem of predicting traffic from IoT devices [7]. With the increasing use of IoT devices, simulating various traffic scenarios is becoming more important, and traffic generators play a major role in this stage. Such a tool is crucial for identifying vulnerabilities, optimizing system performance, and ensuring robust security, particularly in Zigbee networks, which are widely used in home automation and industrial applications. Our decrypted dataset provides the foundation needed to model authentic traffic patterns, paving the way for the creation of a reliable and practical Zigbee traffic generator. The main contributions of this paper to the literature and industry are as follows:  
* We present a novel and open-source smart home dataset of decrypted Zigbee IoT traffic, which is collected from a real IoT network over 20 days using various Zigbee devices. * We describe the method of extracting the network's encryption key. * We emphasize the importance of the decrypted dataset and analyze the characteristics of the network traffic that can be used to develop a Zigbee traffic generator in the future. The rest of this paper is organized as follows: In Section 2, we review the related work, next we compare Zigbee with the other protocols in Section 3. In Section 4, we provide an in-depth overview of Zigbee to better understand its fundamental aspects, including its architecture, networking, data transmission, and security mechanisms. Then, we describe the data collection process and network key extraction in Section 5. In Section 6, we explain in detail the smart home environment and Zigbee devices where data are captured. In Section 7, we first describe the data postprocessing state, and then present our dataset with details of the captured traffic and network traffic characteristics. Then, we provide a discussion in Section 8, and finally conclude the paper in Section 9.