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Cyber-Resilient Positioning and Navi...

Dasgupta, Sagar,

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Cyber-Resilient Positioning and Navigation for Autonomous Ground Vehicles /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cyber-Resilient Positioning and Navigation for Autonomous Ground Vehicles // Sagar Dasgupta.
作者:	Dasgupta, Sagar,
面頁冊數:	1 electronic resource (173 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
標題:	Geographic information science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31141056
ISBN:	9798382813257

Cyber-Resilient Positioning and Navigation for Autonomous Ground Vehicles /
Dasgupta, Sagar,

Cyber-Resilient Positioning and Navigation for Autonomous Ground Vehicles /Sagar Dasgupta. - 1 electronic resource (173 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

In the realm of autonomous ground vehicle navigation, the reliability and integrity of Global Navigation Satellite Systems (GNSS) are paramount. This dissertation investigates the vulnerabilities of GNSS, specifically focusing on spoofing attacks that threaten the operational safety of Autonomous Vehicles (AVs) in urban environments. Through an in-depth exploration of sensor fusion technologies and alternative navigation methodologies, this research aims to investigate the cyber-resilience of GNSS-based AV navigation systems against such sophisticated threats. This research is divided into three key areas of investigation. Firstly, it explores the characteristics of slow drift Global Positioning System (GPS) spoofing attacks, establishing the foundational understanding necessary for developing effective countermeasures. Following this, secondly, the dissertation details the development of a multi-sensor fusion based detection framework that leverages data from an array of onboard vehicular sensors to detect discrepancies indicative of GNSS spoofing attempts. The effectiveness of this detection framework is rigorously evaluated through experimental validation in real-world urban settings, demonstrating its capacity to accurately identify GNSS spoofing with minimal false positives. Thirdly, the research explores the potential of Geographic Information Systems (GIS) and landmark-based navigation systems as alternative solutions for ensuring navigational accuracy in GNSS-contested urban areas. By utilizing a combination of GIS data and identifiable urban landmarks, this approach offers a viable alternative to GNSS-dependent navigation, enhancing the resilience of AVs to GNSS spoofing attacks. The dissertation concludes by summarizing the significant contributions of the research to the field of autonomous vehicular navigation, highlighting the practical implications of the findings for improving the cyber-resilience of GNSS systems. Through its innovative approach to GNSS spoofing detection and alternative navigation strategies, this dissertation lays the groundwork for future advancements in cyber-secure AV operation in urban environments.

English

ISBN: 9798382813257Subjects--Topical Terms:

3432445
Geographic information science.
Subjects--Index Terms:

Autonomous Vehicle

Cyber-Resilient Positioning and Navigation for Autonomous Ground Vehicles /
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520 $a In the realm of autonomous ground vehicle navigation, the reliability and integrity of Global Navigation Satellite Systems (GNSS) are paramount. This dissertation investigates the vulnerabilities of GNSS, specifically focusing on spoofing attacks that threaten the operational safety of Autonomous Vehicles (AVs) in urban environments. Through an in-depth exploration of sensor fusion technologies and alternative navigation methodologies, this research aims to investigate the cyber-resilience of GNSS-based AV navigation systems against such sophisticated threats. This research is divided into three key areas of investigation. Firstly, it explores the characteristics of slow drift Global Positioning System (GPS) spoofing attacks, establishing the foundational understanding necessary for developing effective countermeasures. Following this, secondly, the dissertation details the development of a multi-sensor fusion based detection framework that leverages data from an array of onboard vehicular sensors to detect discrepancies indicative of GNSS spoofing attempts. The effectiveness of this detection framework is rigorously evaluated through experimental validation in real-world urban settings, demonstrating its capacity to accurately identify GNSS spoofing with minimal false positives. Thirdly, the research explores the potential of Geographic Information Systems (GIS) and landmark-based navigation systems as alternative solutions for ensuring navigational accuracy in GNSS-contested urban areas. By utilizing a combination of GIS data and identifiable urban landmarks, this approach offers a viable alternative to GNSS-dependent navigation, enhancing the resilience of AVs to GNSS spoofing attacks. The dissertation concludes by summarizing the significant contributions of the research to the field of autonomous vehicular navigation, highlighting the practical implications of the findings for improving the cyber-resilience of GNSS systems. Through its innovative approach to GNSS spoofing detection and alternative navigation strategies, this dissertation lays the groundwork for future advancements in cyber-secure AV operation in urban environments.
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653 $a Cybersecurity
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653 $a Global Positioning System
653 $a Navigation
653 $a Positioning
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