Divider: Delay-Time Based Sender Identification in Automotive Networks. - Shuji Ohira; Araya Kibrom Desta; Tomoya Kitagawa; Ismail Arai; Kazutoshi Fujikawa (COMPSAC, 2020)

MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (ITNAC, 2020)

ID Sequence Analysis for Intrusion Detection in the CAN bus using Long Short Term Memory Networks. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (PerCom Workshops, 2020)

Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS Against DoS Attacks on In-Vehicle Networks. - Shuji Ohira; Araya Kibrom Desta; Ismail Arai; Hiroyuki Inoue; Kazutoshi Fujikawa (IEEE Access, 2020)

Long Short-Term Memory Networks for In-Vehicle Networks Intrusion Detection Using Reverse Engineered Automotive Packets. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (J. Inf. Process., 2020)

PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks. - Shuji Ohira; Araya Kibrom Desta; Ismail Arai; Kazutoshi Fujikawa (AsiaCCS, 2021)

U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (COMPSAC, 2022)

Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (Veh. Commun., 2022)

IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication. - Shuji Ohira; Araya Kibrom Desta; Ismail Arai; Kazutoshi Fujikawa (ICISSP, 2023)

Forecasting Road Traffic Volume Using Temporal-Only Time Series Models. - Araya Kibrom Desta; Ismail Arai (PerCom Workshops, 2025)