Protocol Vulnerability Detection Method Based on Fuzzing in Low Earth Orbit Satellite Network

Low Earth Orbit (LEO) satellites play a vital role in satellite Internet systems due to their low latency and wide coverage. However, the dynamic topology and limited resources of LEO networks make them vulnerable to protocol-level security threats. Most existing studies focus on network performance or protocol design, with limited attention to protocol vulnerability detection. To address this gap, this paper introduces a protocol detection method for LEO networks based AFLnet (LNAFLnet). To cope with LEO-specific challenges, an adaptive sliding window mechanism is proposed to ensure connection stability while mitigating congestion and routing pollution. Experiments demonstrate that the method improves target selection accuracy, reduces link occupancy and drops average delay compared with existing fuzzing method. We apply the proposed method to a variant of the OSPF protocol designed for LEO networks, and further validate its effectiveness through testing.

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Publication Details

Published
2025-08-19
DOI
https://doi.org/10.1145/3750022.3750457
Primary Topic
Satellite Communication Systems
Type
article
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article

Protocol Vulnerability Detection Method Based on Fuzzing in Low Earth Orbit Satellite Network

Guowei Wu, Lin Yao, C. W. Lan, Ziyuan Tian
Satellite Communication Systems
article

Protocol Vulnerability Detection Method Based on Fuzzing in Low Earth Orbit Satellite Network

Guowei Wu, Lin Yao, C. W. Lan, Ziyuan Tian
article en

Abstract

Low Earth Orbit (LEO) satellites play a vital role in satellite Internet systems due to their low latency and wide coverage. However, the dynamic topology and limited resources of LEO networks make them vulnerable to protocol-level security threats. Most existing studies focus on network performance or protocol design, with limited attention to protocol vulnerability detection. To address this gap, this paper introduces a protocol detection method for LEO networks based AFLnet (LNAFLnet). To cope with LEO-specific challenges, an adaptive sliding window mechanism is proposed to ensure connection stability while mitigating congestion and routing pollution. Experiments demonstrate that the method improves target selection accuracy, reduces link occupancy and drops average delay compared with existing fuzzing method. We apply the proposed method to a variant of the OSPF protocol designed for LEO networks, and further validate its effectiveness through testing.

Dalian University of Technology (CN), Nanjing Surveying and Mapping Research Institute (China) (CN)
Climate action
Openalex Percentile: Top 71%
Satellite Communication Systems
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