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Enhancing UAV Security through Comprehensive Vulnerability Analysis and an ARM PSA-Based Architecture.

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Title: Enhancing UAV Security through Comprehensive Vulnerability Analysis and an ARM PSA-Based Architecture.
Authors: KIM, Beom Seok1 passion0822@khu.ac.kr, SON, Heeseung2, LEE, Junoh2, JANG, Daehee3, KIM, Deokjin4, LEE, Sangwook4, LEE, Ben5, CHO, Jinsung6 chojs@khu.ac.kr
Source: Technical Gazette / Tehnički Vjesnik. 2025, Vol. 32 Issue 5, p1856-1867. 12p.
Subjects: Drone aircraft, ARM microprocessors, Computer network protocols, Computer architecture, Risk assessment, Software frameworks, Cyberterrorism
Abstract: Recently, Unmanned Aerial Vehicles (UAVs), which are embedded, real-time systems, are being used in various fields such as military, logistics, surveillance, and mapping. UAVs face security threats due to their diverse peripherals and attack vectors. Real-world incidents, such as GPS spoofing and control signal manipulation, highlight the need for improved security systems in UAVs to prevent potential human losses and material damage. While prior research has examined UAV security vulnerabilities, it has primarily focused on individual attack techniques rather than systematically analyzing the relationship between software and hardware security risks. As such, effectively addressing these security threats necessitates a comprehensive analysis of the software and hardware architecture of UAVs and a systematic investigation of existing attack cases. This paper systematically analyzes UAV attack cases and defines a generalized UAV architecture based on commercial and opensource UAV platforms. Furthermore, we evaluate the security vulnerabilities in widely used UAV software frameworks, including PX4 Autopilot and the MAVLink communication protocol. Based on our findings, we propose a Secure UAV architecture leveraging ARM Platform Security Architecture (PSA) to enhance resilience against cyber threats. [ABSTRACT FROM AUTHOR]
Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22KIM%2C+Beom+Seok%22">KIM, Beom Seok</searchLink><relatesTo>1</relatesTo><i> passion0822@khu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22SON%2C+Heeseung%22">SON, Heeseung</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22LEE%2C+Junoh%22">LEE, Junoh</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22JANG%2C+Daehee%22">JANG, Daehee</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22KIM%2C+Deokjin%22">KIM, Deokjin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22LEE%2C+Sangwook%22">LEE, Sangwook</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22LEE%2C+Ben%22">LEE, Ben</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22CHO%2C+Jinsung%22">CHO, Jinsung</searchLink><relatesTo>6</relatesTo><i> chojs@khu.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2025, Vol. 32 Issue 5, p1856-1867. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22ARM+microprocessors%22">ARM microprocessors</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+protocols%22">Computer network protocols</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Software+frameworks%22">Software frameworks</searchLink><br /><searchLink fieldCode="DE" term="%22Cyberterrorism%22">Cyberterrorism</searchLink>
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  Data: Recently, Unmanned Aerial Vehicles (UAVs), which are embedded, real-time systems, are being used in various fields such as military, logistics, surveillance, and mapping. UAVs face security threats due to their diverse peripherals and attack vectors. Real-world incidents, such as GPS spoofing and control signal manipulation, highlight the need for improved security systems in UAVs to prevent potential human losses and material damage. While prior research has examined UAV security vulnerabilities, it has primarily focused on individual attack techniques rather than systematically analyzing the relationship between software and hardware security risks. As such, effectively addressing these security threats necessitates a comprehensive analysis of the software and hardware architecture of UAVs and a systematic investigation of existing attack cases. This paper systematically analyzes UAV attack cases and defines a generalized UAV architecture based on commercial and opensource UAV platforms. Furthermore, we evaluate the security vulnerabilities in widely used UAV software frameworks, including PX4 Autopilot and the MAVLink communication protocol. Based on our findings, we propose a Secure UAV architecture leveraging ARM Platform Security Architecture (PSA) to enhance resilience against cyber threats. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Type: general
      – SubjectFull: ARM microprocessors
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      – SubjectFull: Computer network protocols
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      – SubjectFull: Risk assessment
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      – SubjectFull: Cyberterrorism
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      – TitleFull: Enhancing UAV Security through Comprehensive Vulnerability Analysis and an ARM PSA-Based Architecture.
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              M: 09
              Text: 2025
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              Y: 2025
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