TY - GEN
T1 - How Does Distributed Denial of Service Affect the Connected Cars Environment?
AU - Wehby, Ayoub
AU - Zeadally, Sherali
AU - Khatoun, Rida
AU - Bouchouia, Mohammed Lamine
AU - Fadlallah, Ahmad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - Connected Cars
KW - Cooperative Awareness Message
KW - Cyberattack
KW - Distributed Denial of Service
U2 - 10.1109/CoDIT62066.2024.10708325
DO - 10.1109/CoDIT62066.2024.10708325
M3 - Conference contribution
AN - SCOPUS:85204281425
T3 - 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024
SP - 164
EP - 170
BT - 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024
Y2 - 1 July 2024 through 4 July 2024
ER -