Achieving Secure On-Orbit Anomaly Identification and Query of Wind Turbines
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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{XOR}$</tex-math></inline-formula> 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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{SOAI}$</tex-math></inline-formula> . Comprehensive security analysis shows that the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{SOAI}$</tex-math></inline-formula> scheme achieves confidentiality under a simulation-based real/ideal world model. Moreover, we compare the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{SOAI}$</tex-math></inline-formula> 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.
Authors
- Qinglei Kong (ORCID: https://orcid.org/0000-0002-9740-0240)
- Songnian Zhang (ORCID: https://orcid.org/0000-0002-0558-4485)
- Bo Chen (ORCID: https://orcid.org/0000-0001-7495-8885)
- Xiaohong Wang (ORCID: https://orcid.org/0000-0003-2636-8260)
- S.P. Wen
Institutions
- Agency for Science, Technology and Research (SG)
- Xidian University (CN)
- Harbin Institute of Technology (CN)
- Institute for Infocomm Research (SG)
Publication Details
- Journal
- IEEE Transactions on Industrial Informatics
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1109/tii.2024.3523556
- Primary Topic
- Satellite Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation