EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 469 (2023) E3S Web of Conf., 469 (2023) 00082 References
Open Access
Issue
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
Article Number 00082
Number of page(s) 9
DOI https://doi.org/10.1051/e3sconf/202346900082
Published online 20 December 2023
  1. Karrouchi, M., Nasri, I., Snoussi, H., Messaoudi, A., Kassmi, K. (2021). Implementation of the Vehicle Speed and Location Monitoring System to Minimize the Risk of Accident. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_140 [Google Scholar]
  2. M. Karrouchi, I. Nasri, H. Snoussi, I. Atmane, A. Messaoudi and K. Kassmi, “Black box system for car/driver monitoring to decrease the reasons of road crashes,” 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Alkhobar, Saudi Arabia, 2021, pp. 01-06, doi: 10.1109/ISAECT53699.2021.9668545. [Google Scholar]
  3. Li, X., Yu, Y., Sun, G., & Chen, K. (2018). Connected vehicles’ security from the perspective of the in-vehicle network. IEEE Network, 32(3), 58-63. DOI: 10.1109/MNET.2018.1700319 [CrossRef] [Google Scholar]
  4. KARROUCHI, Mohammed, et al. “Practical investigation and evaluation of the Start/Stop system’s impact on the engine’s fuel use, noise output, and pollutant emissions.” e-Prime-Advances in Electrical Engineering, Electronics and Energy (2023): 100310. https://doi.org/10.1016/j.prime.2023.100310 [Google Scholar]
  5. Mohammed, K., Abdelhafid, M., Kamal, K., Ismail, N., & Ilias, A. (2023). Intelligent driver monitoring system: An Internet of Things-based system for tracking and identifying the driving behavior. Computer Standards & Interfaces, 84, 103704. https://doi.org/10.1016/j.csi.2022.103704 [CrossRef] [Google Scholar]
  6. Ishak, M. K., & Khan, F. K. (2019). Unique message authentication security approach based controller area network (CAN) for anti-lock braking system (ABS) in vehicle network. Procedia Computer Science, 160, 93-100. https://doi.org/10.1016/j.procs.2019.09.448 [CrossRef] [Google Scholar]
  7. Karrouchi, M., Messaoudi, A., Kassmi, K., Nasri, I., Atmane, I., Blaacha, J. (2023). Design and Demonstrate an Attack Strategy to Control a Vehicle’s Computer by Targeting Its Electrical Network. In: Bekkay, H., Mellit, A., Gagliano, A., Rabhi, A., Amine Koulali, M. (eds) Proceedings of the 3rd International Conference on Electronic Engineering and Renewable Energy Systems. ICEERE 2022. Lecture Notes in Electrical Engineering, vol 954. Springer, Singapore. https://doi.org/10.1007/978-981-19-6223-3_58 [Google Scholar]
  8. Minu A Pillai, Sridevi Veerasingam and Yaswanth Sai D, “Implementation of Sensor Network for Indoor Air Quality Monitoring using CAN interface,” IEEE international conference on Advances in Computer Engineering ,2010. DOI: 10.1109/ACE.2010.85 [Google Scholar]
  9. Karrouchi, M., Nasri, I., Kassmi, K., Messaoudi, A., Zerouali, S. (2023). Analysis of the Driver’s Overspeed on the Road Based on Changes in Essential Driving Data. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_80 [Google Scholar]
  10. Ashraf, J., Bakhshi, A. D., Moustafa, N., Khurshid, H., Javed, A., & Beheshti, A. (2020). Novel deep learning-enabled lstm autoencoder architecture for discovering anomalous events from intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2020.3017882 [Google Scholar]
  11. Avatefipour, O., Al-Sumaiti, A. S., El-Sherbeeny, A. M., Awwad, E. M., Elmeligy, M. A., Mohamed, M. A., & Malik, H. (2019). An intelligent secured framework for cyberattack detection in electric vehicles’ CAN bus using machine learning. IEEE Access, 7, 127580-127592. DOI: 10.1109/ACCESS.2019.2937576 [CrossRef] [Google Scholar]
  12. Miller, C. (2019). Lessons learned from hacking a car. IEEE Design & Test, 36(6), 7-9. DOI: 10.1109/MDAT.2018.2863106 [CrossRef] [Google Scholar]
  13. Abbott-McCune S, Shay LA (2016) Techniques in hacking and simulating a modem automotive controller area network. In: 2016 IEEE international Carnahan conference on security technology (ICCST). IEEE. https://doi.org/10.1109/CCST.2016.7815712 [Google Scholar]
  14. Gianpiero Costantino and Ilaria Matteucci, CANDY CREAM hacking infotainment android systems to command instrument cluster via can data frame, 2019 IEEE International Conference on Computational Science and Engineering (CSE). DOI: 10.1109/CSE/EUC.2019.00094 [Google Scholar]
  15. Koscher, Karl, et al. “Experimental security analysis of a modern automobile.” The Ethics of Information Technologies. Routledge, 2020. 119-134. DOI:10.1109/SP.2010.34 [Google Scholar]
  16. Marchetti, M., & Stabili, D. (2017, June). Anomaly detection of CAN bus messages through analysis of ID sequences. In 2017 IEEE Intelligent Vehicles Symposium (IV) (pp. 1577-1583). IEEE. [Google Scholar]
  17. Islam, R., & Refat, R. U. D. (2020). Improving CAN bus security by assigning dynamic arbitration IDs. Journal of Transportation Security, 13(1-2), 19-31. [CrossRef] [Google Scholar]
  18. Desta, A. K., Ohira, S., Arai, I., & Fujikawa, K. (2020, March). ID sequence analysis for intrusion detection in the CAN bus using long short term memory networks. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 1-6). IEEE. [Google Scholar]
  19. Miller, C., & Valasek, C. (2014). A survey of remote automotive attack surfaces. black hat USA, 2014, 94. [Google Scholar]
  20. Bozdal, M., Samie, M., Aslam, S., & Jennions, I. (2020). Evaluation of can bus security challenges. Sensors, 20(8), 2364. [CrossRef] [PubMed] [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.