# The Role and Applications of Airport Digital Twin in Cyberattack Protection during the Generative AI Era

arXiv: https://arxiv.org/abs/2408.05248 · HTML: https://mlsanity.com/paper/2408.05248/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 10 of its 104 references that are in the map.
- First posted on arXiv 8 Aug 2024.

## Builds on (most cited first, 10 of 10)

- [Generative AI](https://mlsanity.com/paper/2309.07930/) (2023)
- [Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities](https://mlsanity.com/paper/2202.02559/) (2022)
- [Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life](https://mlsanity.com/paper/2301.06676/) (2023)
- [A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects](https://mlsanity.com/paper/2301.13350/) (2023)
- [Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey](https://mlsanity.com/paper/2202.09363/) (2022)
- [Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence](https://mlsanity.com/paper/2401.00286/) (2023)
- [Sim2real for Reinforcement Learning Driven Next Generation Networks](https://mlsanity.com/paper/2206.03846/) (2022)
- [Explainable Interface for Human-Autonomy Teaming: A Survey](https://mlsanity.com/paper/2405.02583/) (2024)
- [Integrating Generative AI with Network Digital Twins for Enhanced Network Operations](https://mlsanity.com/paper/2406.17112/) (2024)
- [Airport Digital Twins for Resilient Disaster Management Response](https://mlsanity.com/paper/2205.03739/) (2022)

## Abstract (arXiv)

In recent years, the threat facing airports from growing and increasingly sophisticated cyberattacks has become evident. Airports are considered a strategic national asset, so protecting them from attacks, specifically cyberattacks, is a crucial mission. One way to increase airports' security is by using Digital Twins (DTs). This paper shows and demonstrates how DTs can enhance the security mission. The integration of DTs with Generative AI (GenAI) algorithms can lead to synergy and new frontiers in fighting cyberattacks. The paper exemplifies ways to model cyberattack scenarios using simulations and generate synthetic data for testing defenses. It also discusses how DTs can be used as a crucial tool for vulnerability assessment by identifying weaknesses, prioritizing, and accelerating remediations in case of cyberattacks. Moreover, the paper demonstrates approaches for anomaly detection and threat hunting using Machine Learning (ML) and GenAI algorithms. Additionally, the paper provides impact prediction and recovery coordination methods that can be used by DT operators and stakeholders. It also introduces ways to harness the human factor by integrating training and simulation algorithms with Explainable AI (XAI) into the DT platforms. Lastly, the paper offers future applications and technologies that can be utilized in DT environments.