Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms
The evolution of Connected Vehicles (CVs) has introduced significant advancements in both in-vehicle and vehicle-edge platforms, creating a highly connected ecosystem. These advancements, however, have heightened exposure to cybersecurity risks. This work reviews emerging security challenges in the...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Vehicular Technology |
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| Online Access: | https://ieeexplore.ieee.org/document/10818588/ |
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| author | Marco De Vincenzi John Moore Bradley Smith Sanjay E. Sarma Ilaria Matteucci |
| author_facet | Marco De Vincenzi John Moore Bradley Smith Sanjay E. Sarma Ilaria Matteucci |
| author_sort | Marco De Vincenzi |
| collection | DOAJ |
| description | The evolution of Connected Vehicles (CVs) has introduced significant advancements in both in-vehicle and vehicle-edge platforms, creating a highly connected ecosystem. These advancements, however, have heightened exposure to cybersecurity risks. This work reviews emerging security challenges in the CV ecosystem from a new perspective, focusing on the integration of in-vehicle platforms such as the infotainment system and vehicle-edge platforms. By analyzing case studies such as Android Automotive, Message Queuing Telemetry Transport (MQTT), and the Robot Operating System (ROS), we identify the primary security threats, including malware attacks, data manipulation, and Denial of Service (DoS) attacks. The discussion extends to privacy concerns and the lack of trust-building mechanisms in CVs, highlighting how these gaps can be exploited. To mitigate these risks, we retrieve solutions drawn from the broader field of Internet of Things (IoT) security research, including Multi-Factor Authentication (MFA) and trust-based systems. The proposed framework aims to increase the trustworthiness of devices within the CV ecosystem. Finally, we identify future research directions in adaptive mechanisms and cross-domain security. |
| format | Article |
| id | doaj-art-c8aa4bca49f047f4bc7e2923cd927a7d |
| institution | Kabale University |
| issn | 2644-1330 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-c8aa4bca49f047f4bc7e2923cd927a7d2025-02-05T00:01:19ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-01644245410.1109/OJVT.2024.352408810818588Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge PlatformsMarco De Vincenzi0https://orcid.org/0000-0002-2706-2936John Moore1https://orcid.org/0000-0001-6740-6935Bradley Smith2Sanjay E. Sarma3https://orcid.org/0000-0003-2812-039XIlaria Matteucci4https://orcid.org/0000-0002-5936-8470Institute of Informatics and Telematics, Pisa, ItalyFord Motor Company, Dearborn, MI, USAFord Motor Company, Dearborn, MI, USADepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USAInstitute of Informatics and Telematics, Pisa, ItalyThe evolution of Connected Vehicles (CVs) has introduced significant advancements in both in-vehicle and vehicle-edge platforms, creating a highly connected ecosystem. These advancements, however, have heightened exposure to cybersecurity risks. This work reviews emerging security challenges in the CV ecosystem from a new perspective, focusing on the integration of in-vehicle platforms such as the infotainment system and vehicle-edge platforms. By analyzing case studies such as Android Automotive, Message Queuing Telemetry Transport (MQTT), and the Robot Operating System (ROS), we identify the primary security threats, including malware attacks, data manipulation, and Denial of Service (DoS) attacks. The discussion extends to privacy concerns and the lack of trust-building mechanisms in CVs, highlighting how these gaps can be exploited. To mitigate these risks, we retrieve solutions drawn from the broader field of Internet of Things (IoT) security research, including Multi-Factor Authentication (MFA) and trust-based systems. The proposed framework aims to increase the trustworthiness of devices within the CV ecosystem. Finally, we identify future research directions in adaptive mechanisms and cross-domain security.https://ieeexplore.ieee.org/document/10818588/Connected vehiclessecurityprivacyandroid automotivemessage queuing telemetry transportrobot operating system |
| spellingShingle | Marco De Vincenzi John Moore Bradley Smith Sanjay E. Sarma Ilaria Matteucci Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms IEEE Open Journal of Vehicular Technology Connected vehicles security privacy android automotive message queuing telemetry transport robot operating system |
| title | Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms |
| title_full | Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms |
| title_fullStr | Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms |
| title_full_unstemmed | Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms |
| title_short | Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms |
| title_sort | security risks and designs in the connected vehicle ecosystem in vehicle and edge platforms |
| topic | Connected vehicles security privacy android automotive message queuing telemetry transport robot operating system |
| url | https://ieeexplore.ieee.org/document/10818588/ |
| work_keys_str_mv | AT marcodevincenzi securityrisksanddesignsintheconnectedvehicleecosysteminvehicleandedgeplatforms AT johnmoore securityrisksanddesignsintheconnectedvehicleecosysteminvehicleandedgeplatforms AT bradleysmith securityrisksanddesignsintheconnectedvehicleecosysteminvehicleandedgeplatforms AT sanjayesarma securityrisksanddesignsintheconnectedvehicleecosysteminvehicleandedgeplatforms AT ilariamatteucci securityrisksanddesignsintheconnectedvehicleecosysteminvehicleandedgeplatforms |