With the rapid growth of drone delivery services, there are now over 2,000 commercial drone deliveries every day worldwide. The global market size reached USD 32.5 billion in 2023 and is expected to surpass USD 78.5 billion by 2032. Advances in drone technology, falling costs, growing consumer demand for efficient delivery, and the improvement of regulatory frameworks have all contributed to this growth trend.
As drones work collaboratively in swarms, however, cybersecurity risks are becoming increasingly prominent. Drone swarms rely on data sharing to perform task scheduling, and this highly interconnected communication mode means that an attack on one node could trigger a chain reaction across the entire network, akin to the risks faced by hotel chains or supply chain networks.
To address this challenge, a recent study by a team of researchers from the School of Mathematical and Statistical Sciences, Arizona State University, proposed a dynamic percolation model. It is based on probabilistic graph theory and spatial Poisson point processes, comprehensively modeling the loss distribution of cybersecurity risks across various scales of drone delivery…
