Towards Digital Twin Integrated Border Control

As a promising enabling technology for digital transformation with the prime goal of solving numerous challenges, digital twin concept has gained significant recognition among researchers and practitioners, and has been adopted across many different industries. The importance of data to digital twin cannot be overstated. Data plays a critical role in constructing virtual models, building cyber-physical connections, and executing intelligent operations. Driven by data and model, the digital twin modeling is the core for accurate portrayal of its physical entity, which enables the digital twin to deliver a functional service in monitoring and prediction. Against this background, the paper suggests the adoption of digital twin within the border control domain for risk monitoring purposes. The monitoring function will identify, analyze, and respond to illegal activities at national entry points. The virtual data is collected from various sources of IoT devices. This research conducts a thorough review of existing literature and analysis on technology advancements to present the emerging trends and technology used in border control and subsequently proposed a model and framework of digital twin integrated border control that will support risk monitoring of border authority. Exploratory investigation was conducted in search for model and framework validation. Result of the survey shows that the majority of the respondents agreed with the idea of digital twin implementation within border control domain to support risk monitoring. The preliminary study proved that digital twin integration contributes to the effectiveness and efficiency of border protection routine.