Akademik Veri Yönetim Sistemi
4th International Conference on Cognitive Mobility, Budapest, Macaristan, 2 - 03 Ekim 2025, ss.1-7, (Tam Metin Bildiri)
The integration of Digital Twin (DT) and Explainable Artificial Intelligence (XAI) technologies in critical infrastructures is of great importance, especial-ly in terms of security and efficiency in industrial control systems. Although digital transformation increases complexity in critical systems such as ener-gy, transportation, and healthcare, the security of these systems is also be-coming more threatened. DTs provide real-time monitoring and predictive analysis by creating digital copies of physical systems. XAI, on the other hand, makes the decisions of artificial intelligence models transparent and al-lows operators to understand how the system works. In the literature, these two technologies are usually used separately, but their integration is limited. This deficiency is attempted to be addressed by developing a hybrid model that combines DT and XAI technologies. This model aims to increase the ac-curacy of anomaly detection in critical infrastructures and to ensure the transparency and security of the system. While the DT detects deviations in the physical system, XAI is used to explain the reasons for these deviations. In addition, the model is designed to enable adaptive learning and system improvement processes by using a real-time feedback loop to ensure Cyber Resilience (CR). The integration of DT and XAI is an important step that can contribute to future research and applications.