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While there has been a significant interest in understanding the cyber threat landscape of Internet of Things (IoT) networks, and the design of Artificial Intelligence (AI)-based security approaches, there is a lack of distributed architecture led to generating heterogeneous datasets that contain the actual behaviors of real-world IoT networks and complex cyber threat scenarios to evaluate the credibility of the new systems. This paper presents a novel testbed architecture of IoT network which can be used to evaluate Artificial Intelligence (AI)-based security applications. The platform NSX vCloud NFV was employed to facilitate the execution of Software-Defined Network (SDN), Network Function Virtualization (NFV) and Service Orchestration (SO) to offer dynamic testbed networks, which allow the interaction of edge, fog and cloud tiers. While deploying the architecture, real-world normal and attack scenarios are executed …