Simulation of Low Earth Orbit Satellite Communication Data for Cyber Attack Detection

Satellites play a crucial role in the global infrastructure of internet communication, commerce, and society. However, they are vulnerable to cyber-attacks, with distributed denial of service (DDoS) attacks being among the most prevalent threats. These attacks disrupt normal operations by flooding a network's resources. In response to the increasing frequency of such threats, there is a growing need for predictive methods of detecting bad actor signals. This paper proposes a stochastic logging system designed to capture and analyze key metrics associated with DDoS attacks on Low Earth Orbit (LEO) satellites, including uplink and downlink speeds, spectrogram speeds, and latency. By logging these measures, the system aims to identify abnormal signal activity. The methodology involves generating synthetic data representative of LEO satellite communication metrics and validating these values against predefined acceptable ranges. These datasets could then be used to develop methods for detecting and mitigating attacks on satellite networks.