| 摘要: |
| 在卫星节点上构建区块链系统可有效消除星载数据协同的地域限制，同时减少数据泄露的风险，为卫星互联网提供信任机制的保障。针对区块链和卫星互联网深度融合时存在的网络拓扑高动态、计算资源和链路资源受限、存在蓄意攻击与破坏等问题，基于TrustZone构建了星载区块链边缘节点的多级安全架构，可有针对性地提高星载区块链边缘节点的物理节点、信息系统和可信数据的多级安全性，并在多级安全架构下从星载区块链边缘节点的计算、存储、传输和密码等方面开展了轻量化设计，进而通过星载区块链边缘节点多级安全模拟实验、轻量化设计效果对比分析和数据可信协同模拟实验验证了所提架构的有效性，可为下一步开展基于星载区块链边缘节点的卫星互联网数据应用研究提供技术参考。 |
| 关键词: 卫星互联网 星载区块链 边缘节点 多级安全架构 数据协同 |
| DOI：10.20079/j.issn.1001-893x.240618005 |
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| 基金项目: |
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| Design of Multi-Tiered Security Framework for Spaceborne Lightweight Blockchain Edge Node |
| ZHANG Xiaomiao,HUI Huaihai,LI Zheng,WANG Di,HE Jiahong,LUO Yi |
| (Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: |
| Constructing a blockchain system on satellite nodes offers a robust solution to transcend geographical limitations in spaceborne data collaboration,mitigating the risk of data breaches and reinforcing the trust mechanism essential for satellite Internet operations.For the challenges posed by the high-dynamic network topology,constrained computing and connectivity resources,and potential deliberate disruptions in the seamless integration of blockchain with satellite internet,the authors introduces a multi-tiered security framework for edge nodes by leveraging the TrustZone technology.This framework significantly enhances the security of the physical nodes,information systems,and the integrity of data.Additionally,a lightweight design strategy is implemented focusing on computation,storage,transmission,and cryptographic processes within the multi-tiered security architecture.Subsequently,through a series of multi-tiered security simulation experiments,a comparative analysis of the lightweight design’s efficiecy and a simulation of trusted data collaboration, the effectiveness of the proposal framework is verified.The results offer valuable technical insights for future research on satellite Internet data applications based on spaceborne blockchain edge nodes. |
| Key words: satellite Internet spaceborne blockchain edge node multi-tiered security framework data collaboration |
