数据驱动型卫星应用的安全性:概述和新视角

IF 3.4 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Qinglei Kong , Jian Liu , Xiaodong Qu , Bo Chen , Haiyong Bao , Lexi Xu
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引用次数: 0

摘要

近年来,卫星星座在全球范围内的部署受到了广泛关注。在这篇综述论文中,我们深入研究了典型数据驱动在轨应用中的安全问题。首先,我们确定了全球导航卫星系统(GNSS)中的安全威胁,并回顾了一系列异常检测和基于自相关的方法来抵御典型攻击。其次,我们展示了卫星通信中的安全问题,这些问题受到动态拓扑和接入点频繁变化的影响;同时,我们提出了一个有关切换和位置管理的安全移动性管理框架。第三,我们讨论了卫星遥感应用的安全在轨数据处理范例。该范例实现了异构在轨资源下多个任务之间的安全协调和安全在轨联合计算。由于对卫星应用安全,特别是在轨数据计算安全的研究还很有限,我们的综述论文提供了这一领域的早期概述。它还展示了典型应用的未来安全研究趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security in data-driven satellite applications: An overview and new perspectives
The worldwide deployment of satellite constellations has received considerable attention in recent years. In this overview paper, we intensively study the security issues in typical data-driven on-orbit applications. First, we identify the security threats in the Global Navigation Satellite System (GNSS) and review a series of anomaly detection and auto-correlation-based methods to resist typical attacks. Second, we show the security issues in satellite communications, which suffer from the dynamic topology and frequent change of access points; meanwhile, we propose a secure mobility management framework concerning handover and location management. Third, we discuss the satellite remote sensing application’s secure on-orbit data processing paradigm. This paradigm achieves secure coordination between multiple tasks with heterogeneous on-orbit resources and secure on-orbit joint computation. As the study of securing satellite applications, especially in securing on-orbit data computation, is limited, our overview paper provides an early overview of this area. It also shows future security research trends in typical applications.
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来源期刊
Signal Processing
Signal Processing 工程技术-工程:电子与电气
CiteScore
9.20
自引率
9.10%
发文量
309
审稿时长
41 days
期刊介绍: Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.
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