海军舰艇GNSS欺骗网络攻击的检测与识别

Mahdi Taheri, Mohammadreza Nematollahi, K. Khorasani
{"title":"海军舰艇GNSS欺骗网络攻击的检测与识别","authors":"Mahdi Taheri, Mohammadreza Nematollahi, K. Khorasani","doi":"10.1109/INERTIAL56358.2023.10104008","DOIUrl":null,"url":null,"abstract":"Considering that global navigation satellite systems (GNSS) are pervasive in modern naval marine vessels, cyber threats, namely GNSS spoofing and GNSS jamming cyber-attacks on these modern navigation systems are investigated in this work. Specifically, the problem of detection and identification of GNSS spoofing cyber-attacks in naval marine vessels are addressed. We utilize the Interacting Multiple Model Unscented Kalman Filter (IMM-UKF) methodology and IMU sensors on a given naval vessel to detect and identify GNSS spoofing cyber-attacks. Our proposed IMM-UKF methodology is capable of identifying different types and modes of the spoofing cyber-attacks. The proposed methodology also provides one with an estimation on severity of the performed GNSS spoofing cyber-attack.","PeriodicalId":236326,"journal":{"name":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection and Identification of GNSS Spoofing Cyber-Attacks for Naval Marine Vessels\",\"authors\":\"Mahdi Taheri, Mohammadreza Nematollahi, K. Khorasani\",\"doi\":\"10.1109/INERTIAL56358.2023.10104008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering that global navigation satellite systems (GNSS) are pervasive in modern naval marine vessels, cyber threats, namely GNSS spoofing and GNSS jamming cyber-attacks on these modern navigation systems are investigated in this work. Specifically, the problem of detection and identification of GNSS spoofing cyber-attacks in naval marine vessels are addressed. We utilize the Interacting Multiple Model Unscented Kalman Filter (IMM-UKF) methodology and IMU sensors on a given naval vessel to detect and identify GNSS spoofing cyber-attacks. Our proposed IMM-UKF methodology is capable of identifying different types and modes of the spoofing cyber-attacks. The proposed methodology also provides one with an estimation on severity of the performed GNSS spoofing cyber-attack.\",\"PeriodicalId\":236326,\"journal\":{\"name\":\"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INERTIAL56358.2023.10104008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INERTIAL56358.2023.10104008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

考虑到全球导航卫星系统(GNSS)在现代海军舰艇中的普遍存在,本文研究了针对现代导航系统的网络威胁,即GNSS欺骗和GNSS干扰网络攻击。具体而言,解决了海军舰艇GNSS欺骗网络攻击的检测和识别问题。我们利用交互式多模型无气味卡尔曼滤波器(IMM-UKF)方法和给定海军舰艇上的IMU传感器来检测和识别GNSS欺骗网络攻击。我们提出的IMM-UKF方法能够识别不同类型和模式的欺骗网络攻击。所提出的方法还提供了对执行的GNSS欺骗网络攻击的严重程度的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and Identification of GNSS Spoofing Cyber-Attacks for Naval Marine Vessels
Considering that global navigation satellite systems (GNSS) are pervasive in modern naval marine vessels, cyber threats, namely GNSS spoofing and GNSS jamming cyber-attacks on these modern navigation systems are investigated in this work. Specifically, the problem of detection and identification of GNSS spoofing cyber-attacks in naval marine vessels are addressed. We utilize the Interacting Multiple Model Unscented Kalman Filter (IMM-UKF) methodology and IMU sensors on a given naval vessel to detect and identify GNSS spoofing cyber-attacks. Our proposed IMM-UKF methodology is capable of identifying different types and modes of the spoofing cyber-attacks. The proposed methodology also provides one with an estimation on severity of the performed GNSS spoofing cyber-attack.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信