Achieving Secure On-Orbit Anomaly Identification and Query of Wind Turbines

Abstract

Low Earth orbit satellite constellations with seamless network coverage and onboard computers enable autonomous on-orbit anomaly identification of remote wind turbines. However, they face several challenges. First, limited visible periods caused by orbital characteristics mandate that one satellite holds anomalies and the other collects surveillance data. Second, passively injected satellites could intercept and grasp onboard message flows. Third, a restricted onboard energy supply budget restrains intersatellite communications and onboard computations. With the above challenges, we propose a secure on-orbit anomaly identification (SOAI) scheme between a pair of satellites through an $\text{XOR}$ filter, which further exploits laconic private set intersection to eliminate false positives. The secure on-orbit anomaly querying scheme achieves the verifiable querying of anomalies derived from $\text{SOAI}$. Comprehensive security analysis shows that the $\text{SOAI}$ scheme achieves confidentiality under a simulation-based real/ideal world model. Moreover, we compare the $\text{SOAI}$ scheme with two baseline schemes in terms of communication overheads and computational costs, and evaluation results show that our scheme outperforms the compared schemes, and our scheme is feasible in the OneWeb constellation near the polar regions.