Shuji Ohira

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Intrusion Detection

Convolutional Neural Networks

Top Venues

Publications

Shuji Ohira, Araya Kibrom Desta, Ismail Arai, Kazutoshi Fujikawa
IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication. ICISSP (2023)
Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa
U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks. COMPSAC (2022)
Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa
Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots. Veh. Commun. 35 (2022)
Shuji Ohira, Araya Kibrom Desta, Ismail Arai, Kazutoshi Fujikawa
PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks. AsiaCCS (2021)
Shuji Ohira, Araya Kibrom Desta, Tomoya Kitagawa, Ismail Arai, Kazutoshi Fujikawa
Divider: Delay-Time Based Sender Identification in Automotive Networks. COMPSAC (2020)
Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa
MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks. ITNAC (2020)
Shuji Ohira, Araya Kibrom Desta, Ismail Arai, Hiroyuki Inoue, Kazutoshi Fujikawa
Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS Against DoS Attacks on In-Vehicle Networks. IEEE Access 8 (2020)
Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa
ID Sequence Analysis for Intrusion Detection in the CAN bus using Long Short Term Memory Networks. PerCom Workshops (2020)
Shuji Ohira, Araya Kibrom Desta, Tomoya Kitagawa, Ismail Arai, Kazutoshi Fujikawa
Divider: Delay-Time Based Sender Identification in Automotive Networks. CoRR (2020)
Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa
Long Short-Term Memory Networks for In-Vehicle Networks Intrusion Detection Using Reverse Engineered Automotive Packets. J. Inf. Process. 28 (2020)