Survey on security issues of routing and anomaly detection for space information networks

Abstract Space information networks is network systems that can receive, transmit, and process spatial information lively. It uses satellites, stratosphere airships, Unmanned Aerial Vehicles, and other platforms as the carrier. It supports high-dynamic, real-time broadband transmission of earth obse...

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Autores principales: Ming Zhuo, Leyuan Liu, Shijie Zhou, Zhiwen Tian
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/7b82f3414206417ca1554a58dbd60c8d
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spelling oai:doaj.org-article:7b82f3414206417ca1554a58dbd60c8d2021-11-21T12:23:49ZSurvey on security issues of routing and anomaly detection for space information networks10.1038/s41598-021-01638-z2045-2322https://doaj.org/article/7b82f3414206417ca1554a58dbd60c8d2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01638-zhttps://doaj.org/toc/2045-2322Abstract Space information networks is network systems that can receive, transmit, and process spatial information lively. It uses satellites, stratosphere airships, Unmanned Aerial Vehicles, and other platforms as the carrier. It supports high-dynamic, real-time broadband transmission of earth observations and ultra-long-distance, long-delay reliable transmission of deep space exploration. The deeper the network integration, the higher the system’s security concerns and the more likely SINs will be controlled and destroyed in terms of cybersecurity. How to integrate new IT technologies such as artificial intelligence, digital twins, and blockchain to diverse application scenarios of SINs while maintaining SIN cybersecurity will be a long-term critical technical issue. This study is a review of the security issues for space information networks. First, this paper examines space information networks’ security issues and figures out the relationship between the main security threats, services, and mechanisms. Then, this article selects secure routing and anomaly detection from many security technologies to conduct a detailed overview from two perspectives of traditional methods and artificial intelligence. Subsequently, this paper investigates anomaly detection schemes for spatial information networks and proposes a deep learning-based anomaly detection scheme. Finally, we suggest the potential research directions and opening problems of space information network security. Overall, this paper aims to give readers an overview of the newly emerging technologies in space information networks’ security issues and provide inspiration for future exploration.Ming ZhuoLeyuan LiuShijie ZhouZhiwen TianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ming Zhuo
Leyuan Liu
Shijie Zhou
Zhiwen Tian
Survey on security issues of routing and anomaly detection for space information networks
description Abstract Space information networks is network systems that can receive, transmit, and process spatial information lively. It uses satellites, stratosphere airships, Unmanned Aerial Vehicles, and other platforms as the carrier. It supports high-dynamic, real-time broadband transmission of earth observations and ultra-long-distance, long-delay reliable transmission of deep space exploration. The deeper the network integration, the higher the system’s security concerns and the more likely SINs will be controlled and destroyed in terms of cybersecurity. How to integrate new IT technologies such as artificial intelligence, digital twins, and blockchain to diverse application scenarios of SINs while maintaining SIN cybersecurity will be a long-term critical technical issue. This study is a review of the security issues for space information networks. First, this paper examines space information networks’ security issues and figures out the relationship between the main security threats, services, and mechanisms. Then, this article selects secure routing and anomaly detection from many security technologies to conduct a detailed overview from two perspectives of traditional methods and artificial intelligence. Subsequently, this paper investigates anomaly detection schemes for spatial information networks and proposes a deep learning-based anomaly detection scheme. Finally, we suggest the potential research directions and opening problems of space information network security. Overall, this paper aims to give readers an overview of the newly emerging technologies in space information networks’ security issues and provide inspiration for future exploration.
format article
author Ming Zhuo
Leyuan Liu
Shijie Zhou
Zhiwen Tian
author_facet Ming Zhuo
Leyuan Liu
Shijie Zhou
Zhiwen Tian
author_sort Ming Zhuo
title Survey on security issues of routing and anomaly detection for space information networks
title_short Survey on security issues of routing and anomaly detection for space information networks
title_full Survey on security issues of routing and anomaly detection for space information networks
title_fullStr Survey on security issues of routing and anomaly detection for space information networks
title_full_unstemmed Survey on security issues of routing and anomaly detection for space information networks
title_sort survey on security issues of routing and anomaly detection for space information networks
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/7b82f3414206417ca1554a58dbd60c8d
work_keys_str_mv AT mingzhuo surveyonsecurityissuesofroutingandanomalydetectionforspaceinformationnetworks
AT leyuanliu surveyonsecurityissuesofroutingandanomalydetectionforspaceinformationnetworks
AT shijiezhou surveyonsecurityissuesofroutingandanomalydetectionforspaceinformationnetworks
AT zhiwentian surveyonsecurityissuesofroutingandanomalydetectionforspaceinformationnetworks
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