Abstract
Distributed Denial-of-Service (DDoS) attacks are among the most insidious cyberattacks targeting any networking system. In the Internet domain, these attacks have demonstrated the capability of bringing down most systems for extended periods. In recent years, researchers have been exploring and simulating DDoS attacks against connected car systems. However, these simulated attacks have primarily employed messages from the Internet domain rather than leveraging the messages exchanged between connected vehicles. This paper presents a novel study that investigates the impact of DDoS attacks employing Cooperative Awareness Messages (CAMs), which serve as fundamental safety messages for establishing awareness in the connected car environment. The results obtained reveal that our attack exerts a significant, silent, and stealthy impact on connected cars. While the system remains operational, the quality of the services it provides (e.g., data collection and vehicle cooperation) is severely compromised. This highlights the vulnerability of connected cars to these attacks and underscores the need for robust mitigation strategies.
Original language | English |
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Title of host publication | 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024 |
Pages | 164-170 |
Number of pages | 7 |
ISBN (Electronic) | 9798350373974 |
DOIs | |
State | Published - 2024 |
Event | 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024 - Valletta, Malta Duration: Jul 1 2024 → Jul 4 2024 |
Publication series
Name | 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024 |
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Conference
Conference | 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024 |
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Country/Territory | Malta |
City | Valletta |
Period | 7/1/24 → 7/4/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Connected Cars
- Cooperative Awareness Message
- Cyberattack
- Distributed Denial of Service
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Information Systems
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Control and Systems Engineering
- Control and Optimization