TY - GEN
T1 - A Survey
T2 - 15th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2024
AU - Tiwari, Vaibhavi
AU - Rajasekar, Dharshana
AU - Wang, Jiayin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In light of the increasing adoption of autonomous vehicles in our transportation networks, it is crucial to emphasize the significance of implementing strong cybersecurity protocols. These self-driving cars, which heavily depend on state-of-the-art sensors, artificial intelligence (AI), and complex communication networks, represent a remarkable advancement in technology. However, they also bring about new vulnerabilities. While it is true that autonomous vehicles have been shown to be statistically safer than traditional cars, it is important to acknowledge the growing concern surrounding cyber threats and their potential impact on the safety and reliability of these vehicles. This paper provides a thorough examination of the cybersecurity issues that driverless cars encounter. It delves into the current risks and upcoming threats that have been identified between 2023 and 2024. The increasing threat of cyber-attacks on vehicles has raised significant safety concerns. Hackers are exploiting various vulnerabilities to compromise vehicle systems, gain access to personal information, and undermine overall security. This paper seeks to enhance comprehension of the pressing requirement for robust cybersecurity frameworks to protect vehicles from evolving threats. It accomplishes this by conducting a thorough examination of potential attacks, bolstered by relevant data and real-world illustrations.
AB - In light of the increasing adoption of autonomous vehicles in our transportation networks, it is crucial to emphasize the significance of implementing strong cybersecurity protocols. These self-driving cars, which heavily depend on state-of-the-art sensors, artificial intelligence (AI), and complex communication networks, represent a remarkable advancement in technology. However, they also bring about new vulnerabilities. While it is true that autonomous vehicles have been shown to be statistically safer than traditional cars, it is important to acknowledge the growing concern surrounding cyber threats and their potential impact on the safety and reliability of these vehicles. This paper provides a thorough examination of the cybersecurity issues that driverless cars encounter. It delves into the current risks and upcoming threats that have been identified between 2023 and 2024. The increasing threat of cyber-attacks on vehicles has raised significant safety concerns. Hackers are exploiting various vulnerabilities to compromise vehicle systems, gain access to personal information, and undermine overall security. This paper seeks to enhance comprehension of the pressing requirement for robust cybersecurity frameworks to protect vehicles from evolving threats. It accomplishes this by conducting a thorough examination of potential attacks, bolstered by relevant data and real-world illustrations.
KW - Adversarial Machine Learning
KW - Autonomous Vehicles
KW - Cybersecurity
KW - Driverless Cars
KW - Ransomware
KW - Supply Chain Attacks
UR - http://www.scopus.com/inward/record.url?scp=85212674063&partnerID=8YFLogxK
U2 - 10.1109/UEMCON62879.2024.10754688
DO - 10.1109/UEMCON62879.2024.10754688
M3 - Conference contribution
AN - SCOPUS:85212674063
T3 - 2024 IEEE 15th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2024
SP - 183
EP - 189
BT - 2024 IEEE 15th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2024
A2 - Paul, Rajashree
A2 - Kundu, Arpita
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 October 2024 through 19 October 2024
ER -