Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots AK Desta, S Ohira, I Arai, K Fujikawa Vehicular Communications 35, 100470, 2022 | 58 | 2022 |
ID sequence analysis for intrusion detection in the CAN bus using long short term memory networks AK Desta, S Ohira, I Arai, K Fujikawa 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 30 | 2020 |
Normal and malicious sliding windows similarity analysis method for fast and accurate IDS against DoS attacks on in-vehicle networks S Ohira, AK Desta, I Arai, H Inoue, K Fujikawa IEEE Access 8, 42422-42435, 2020 | 27 | 2020 |
MLIDS: Handling raw high-dimensional CAN bus data using long short-term memory networks for intrusion detection in in-vehicle networks AK Desta, S Ohira, I Arai, K Fujikawa 2020 30th International Telecommunication Networks and Applications …, 2020 | 20 | 2020 |
PLI-TDC: Super fine delay-time based physical-layer identification with time-to-digital converter for in-vehicle networks S Ohira, AK Desta, I Arai, K Fujikawa Proceedings of the 2021 ACM Asia conference on computer and communications …, 2021 | 19 | 2021 |
Divider: Delay-time based sender identification in automotive networks S Ohira, AK Desta, T Kitagawa, I Arai, F Kazutoshi 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 6 | 2020 |
Long short-term memory networks for in-vehicle networks intrusion detection using reverse engineered automotive packets AK Desta, S Ohira, I Arai, K Fujikawa Journal of Information Processing 28, 611-622, 2020 | 6 | 2020 |
U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks AK Desta, S Ohira, I Arai, K Fujikawa 2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022 | 1 | 2022 |
IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication. S Ohira, AK Desta, I Arai, K Fujikawa ICISSP, 17-28, 2023 | | 2023 |
In-Vehicle Network Attack Detection Using Deep Neural Networks Trained On Features Extracted From CAN Data KD Araya Nara Institute of Science and Technology, 2022 | | 2022 |
Vehicular Communications AK Desta, S Ohira, I Arai, K Fujikawa | | 2022 |