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In this research work, authors propose an intelligent network monitoring and management tool for aircraft data network (ADN) to monitor and manage various on-board systems. This tool helps in visualizing a typical ADN network. It also provides live feed-back to both crew residing onboard and at the ground station. This tool consolidates all the information received from the ADN to provide live health status of the ADN to the user in the form of tables, graphs and charts. It also enables dynamic management of different resources like bandwidth, queuing delays etc to suit demands from subnets in an ADN. Furthermore, with the integration of behavioral algorithm, also developed by the researchers at Advanced Networking Research Center (ANRC) at Wichita State University, the network visualization tool is able to identify the anomalies in a typical aircraft data network, especially in the control network (CoN) and is able to reconfigure various components within the network to protect its integrity.