Open Access
Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
---|---|---|
Article Number | 01097 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/matecconf/202439201097 | |
Published online | 18 March 2024 |
- Muhammad Hataba, Ahmed Sherif, Mohamed Mahmoud, Mohamed Abdallah, Waleed Alasmary. Security and PrivacyIssues in Autonomous Vehicles: A Layer-Based Survey, IEEE Open Journal of the Communications Society, (2022) [Google Scholar]
- Wang Tong, Azhar Hussain, Wang Xi Bo, Sabita Maharjan, Artificial Intelligence for Vehicle-to-Everything: A Survey, IEEE Access, (2019) [Google Scholar]
- M. K. Khan, A. Quadri, Augmenting Cybersecurity in Autonomous Vehicles: Innovative Recommendations for Aspiring Entrepreneurs, in IEEE Consumer Electronics Magazine, 10, 3, (2021) [Google Scholar]
- A. Chowdhury, G. Karmakar, J. Kamruzzaman, A. Jolfaei, R. Das, Attacks on Self-Driving Cars and Their Counter measures: A Survey, in IEEE Access, 8, (2020) [Google Scholar]
- V. K. Kukkala, S. V. Thiruloga, S. Pasricha, Roadmap for Cyber security in Autonomous Vehicles, in IEEE Consumer Electronics Magazine, 11, 6, (2022) [Google Scholar]
- Chowdhury, M.Islam, M.Khan, Security of Connected and Automated Vehicles, The Bridge. National Academy of Engineering, (2019) [Google Scholar]
- X. Sun, F. R. Yu, P. Zhang, A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs),in IEEE Transactions on Intelligent Transportation Systems, 23, 7, (July 2022) [Google Scholar]
- Mohd Nazeer, Shailaja Salagrama, Pardeep Kumar, Kanhaiya Sharma, Deepak Parashar, Mohammed Qayyum, Gouri Patil, Improved method for stress detection using bio-sensor technology and machine learning algorithms, MethodsX, 12, (2024) [Google Scholar]
- Szűcs, Herman, Jozefin Hézer, Road safety analysis of autonomous vehicles: An overview, Periodica Polytechnica Transportation Engineering 50, (2022) [Google Scholar]
- M. Delwar Hossain, H. Inoue, H. Ochiai, D. Fall, Y. Kadobayashi, An Effective In-Vehicle CAN Bus Intrusion Detection System Using CNN Deep Learning Approach, GLOBECOM 2020 – 2020 IEEE Global Communications Conference, Taipei, Taiwan, (2020) [Google Scholar]
- T. Moulahi, S. Zidi, A. Alabdulatif, M. Atiquzzaman, Comparative Performance Evaluation of Intrusion Detection Based on Machine Learning in In-Vehicle Controller Area Network Bus, in IEEE Access, 9, (2021) [Google Scholar]
- E. Choi, H. Song, S. Kang, J. –W. Choi, High-Speed, Low-Latency In-Vehicle Network Based on the Bus Topology for Autonomous Vehicles: Automotive Networking and Applications, in IEEE Vehicular Technology Magazine, 17, (2022) [Google Scholar]
- C. Feng, Z. Xu, X. Zhu, P. V. Klaine, L. Zhang, Wireless Distributed Consensus in Vehicle to Vehicle Networks for Autonomous Driving, in IEEE Transactions on Vehicular Technology, 72, (2023) [Google Scholar]
- Dr. Mohd Nazeer, V. S. Chaitanya kolliboyina, Kamal K. Tiruveedula, I.s. Hephzi Punithavathi, Ch. Shwetha, Fall Prediction of Elder Person Using CCTV Footage and Media Framework, International Conference on Emerging Techniques in Computational Intelligence, ICETCI, IEEE, (2023) [Google Scholar]
- Cui, Jin, Lin Shen Liew, Giedre Sabaliauskaite, Fengjun Zhou, A review on safety failures, security attacks, and available countermeasures for autonomous vehicles, Ad Hoc Networks 90 (2019) [Google Scholar]
- Whelan, Jason, Thanigajan Sangarapillai, Omar Minawi, Abdulaziz Almehmadi, Khalil El-Khatib. Novelty-based intrusion detection of sensor attacks on unmanned aerial vehicles, in Proceedings of the 16th ACM symposium on QoS and security for wireless and mobile networks, (2020) [Google Scholar]
- Cui, Jie, Yaning Chen, Hong Zhong, Debiao He, Lu Wei, Irina Bolodurina, Lu Liu, Lightweight Encryption and Authentication for Controller Area Network of Autonomous Vehicles, IEEE Transactions on Vehicular Technology, (2023) [Google Scholar]
- M. Gmiden, M. H. Gmiden, H. Trabelsi, An intrusion detection method for securing invehicle CAN bus, 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering STA, Sousse, Tunisia, (2016) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.