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}
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.