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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Qinglei Kong, Songnian Zhang, Bo Chen, Xiaohong Wang et al.
IEEE Transactions on Industrial Informatics
Satellite Communication Systems
article

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

Qinglei Kong, Songnian Zhang, Bo Chen, Xiaohong Wang, S.P. Wen
article en

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 <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.

IEEE Transactions on Industrial InformaticsVol. 21(4)
Agency for Science, Technology and Research (SG), Xidian University (CN), Harbin Institute of Technology (CN), Institute for Infocomm Research (SG)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 99%
Satellite Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.