Data Collection and Generation for Radio Frequency Signal Security

The current proliferation of unmanned aerial systems (UASs) for a wide range of applications ranging from commercial to defence purposes demands the need for their protection. The development of security tools and techniques will need realistic radio frequency (RF) datasets for research and testing. This chapter presents an on-going research and development effort to produce RF signal datasets that can be used for the development and testing of machine learning (ML) systems. We envision that these systems will ultimately be the precursor of future autonomous and secure UAS to benefit society for many generations.