A Hierarchical Privacy-Preserving Framework for Heterogeneous Data Utilization in Satellite Internet

Satellite Internet generates vast data resources characterized by high sensitivity and complex scenarios, which pose significant challenges to data security and privacy protection. This paper proposes a hierarchical privacy-preserving framework for heterogeneous data utilization in Satellite Internet, aiming to enhance security while maximizing application value. The framework operates across two dimensions: the application scenario dimension and the data utilization dimension. For the former, five patterns are defined for intra-domain and crossdomain data utilization scenarios, each accompanied by tailored privacy protection strategies. For the latter, the framework encompasses three phases-data fusion, computation, and service-enabled by privacy-preserving methodologies. Furthermore, we analyze the applicability of existing privacypreserving techniques and propose future directions to support scalable Satellite Internet development.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/icccbda64898.2025.11030413
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00

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A Hierarchical Privacy-Preserving Framework for Heterogeneous Data Utilization in Satellite Internet

Han Gao, Yuanbing Shi, Zhantao Cao, Shuli Zhang et al.
Distributed systems and fault tolerance
article

A Hierarchical Privacy-Preserving Framework for Heterogeneous Data Utilization in Satellite Internet

Han Gao, Yuanbing Shi, Zhantao Cao, Shuli Zhang, Xin Gu, Xizi Peng, Yufeng Ma, S. J. Lei
article en

Abstract

Satellite Internet generates vast data resources characterized by high sensitivity and complex scenarios, which pose significant challenges to data security and privacy protection. This paper proposes a hierarchical privacy-preserving framework for heterogeneous data utilization in Satellite Internet, aiming to enhance security while maximizing application value. The framework operates across two dimensions: the application scenario dimension and the data utilization dimension. For the former, five patterns are defined for intra-domain and crossdomain data utilization scenarios, each accompanied by tailored privacy protection strategies. For the latter, the framework encompasses three phases-data fusion, computation, and service-enabled by privacy-preserving methodologies. Furthermore, we analyze the applicability of existing privacypreserving techniques and propose future directions to support scalable Satellite Internet development.

University of Electronic Science and Technology of China (CN), State Key Laboratory of Cryptology (CN), China Telecom (China) (CN)
China Scholarship Council
Openalex Percentile: Top 85%
Distributed systems and fault tolerance
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A Hierarchical Privacy-Preserving Framework for Heterogeneous Data Utilization in Satellite Internet — Han Gao, Yuanbing Shi, et al. · (2025) | TGRS Research Map | TGRS