Ames is working to develop cybersecurity architectures and conceptual research solutions for securing future national airspace environments. One key effort is the development and demonstration of technologies that provide resiliency, data integrity and information privacy to the systems operating in urban air mobility (UAM) environments.
As a result, Ames explores architecture and conceptual research solutions that provide:
- Security solutions for the UAM airspace architecture.
- Modelling and simulation support for UAM secure data exchange.
- Methods for the detection of anomalous incidents in UAM environments.
Projects in this area may focus on:
- Identifying data products that can be leveraged for machine learning for cyber threat detection.
- Developing and testing machine learning models that can be used to detect cyber threats in UAM environments.
- Evaluating and identifying hardware single board computers that can be leveraged for machine learning in UAM environments.