CV

Education

• B.E. in Computer Science, Hiroshima City University, 2018
• M.E. in Graduate School of Science and Technology, Nara Institute of Science and Technology, 2020
• Ph.D. in Graduate School of Science and Technology, Nara Institute of Science and Technology, 2023

Work experience

• Oct 2018 - Mar 2021: Part-Time System Engineer
  • Minatokankobus Inc.
  • Duties included: Development of a Django-based web application (web-based fleet management system)
• Oct 2020 - Mar 2021: Part-Time Lecturer
  • Nara College, National Institute of Technology
  • Duties included: Teaching about java programming
• Apr 2021 - Mar 2023: JSPS Research Fellowships for Young Scientists (DC2)
  • Japan Society for the Promotion of Science
  • Duties included: Researching automotive security
• Apr 2023 - Sep 2025 : Support Engineer
  • Amazon Web Services Japan G.K.
  • Duties included: Support Engineering - Security, Identity, and Compliance Services
• Oct 2025 - Now : Security Consultant
  • Amazon Web Services Japan G.K.
  • Duties included: Providing security advisory and consulting to enterprise customers, supporting secure architecture design on AWS, and helping organizations adopt best practices for identity management, compliance, and threat detection.

Skills

• Languages
  • Japanese
  • English (Limited Proficiency)
• Programming Languages
  • Professional programming experience in C, JavaScript, Python, Verilog HDL.
  • Experience in C++, Go, Node.js, Java.
• Web Application Framework
  • Professional development experience in Django.
  • Experience in Flask, Vue.js.
• Server Administration
  • Professional experience in AWS Security Services.
  • Experience with software/tool including : Docker, Kubernetes (GKE), Logstash/Kibana/Elasticsearch, Nginx, Apache, WSGI Server (Gunicorn), MySQL, CI/CD pipelines (Github Actions).
  • Experience in Microsoft Azure.
• ID Federation Techniques
  • Experience in SAML, OAuth 2.0, OIDC (AWS IAM Identity Center, successor to AWS SSO, Okta Identity Engine).

Publications

車載LANトラフィック監視システム向けのリアルタイムデータ圧縮方式

大平修慈, 金森健人, 井上博之, 石田賢治, "車載LANトラフィック監視システム向けのリアルタイムデータ圧縮方式," コンピュータセキュリティシンポジウム2017論文集, pp.1469-1474, Oct. 2017.

車載インフォテインメントシステムにおけるホワイトリストと遅延付加によるCANバス上のDoS攻撃緩和手法,

大平修慈, 新井イスマイル, 井上博之, 藤川和利, "車載インフォテインメントシステムにおけるホワイトリストと遅延付加によるCANバス上のDoS攻撃緩和手法," コンピュータセキュリティシンポジウム2018論文集, pp.1128-1133, Oct. 2018.

車載LANへ侵入するマルウェアの証拠保全を行うカーネル上のフォレンジック機構

大平修慈, 井上博之, 新井イスマイル, 藤川和利, "車載LANへ侵入するマルウェアの証拠保全を行うカーネル上のフォレンジック機構," 情報処理学会論文誌, 情報処理学会, Vol.60, No.3, pp.791-802, Mar. 2019.

Two strategies of packet based or electric signal based IDS for CAN

Ismail Arai, Shuji Ohira, Kibrom Araya Desta, Kazutoshi Fujikawa, Ahmad Salman, and Samy El-Tawab, "Two strategies of packet based or electric signal based IDS for CAN," Poster, CCI Research Workshop, USA, Oct. 2019.

TDCによる遅延時間の高時間分解能観測に基づくCANメッセージの送信元識別手法

大平修慈, Kibrom Araya Desta, 新井イスマイル, 藤川和利, "TDCによる遅延時間の高時間分解能観測に基づくCANメッセージの送信元識別手法," コンピュータセキュリティ（CSEC）研究会, pp.1-8, Dec. 2019.

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, “Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS against DoS Attacks on In-Vehicle Networks,” IEEE Access, Vol.8, pp.42422-42435, Feb. 2020.

車載ネットワークにおける遅延時間の高時間分解能観測に基づく送信元識別手法

Shuji Ohira, "車載ネットワークにおける遅延時間の高時間分解能観測に基づく送信元識別手法," 奈良先端科学技術大学院大学 先端科学技術研究科, Mar. 2020.

ID Sequence Analysis for Intrusion Detection in the CAN bus using Long Short Term Memory Networks

Araya Kibrom Desta, Shuji Ohira, Ismail Arai and Kazutoshi Fujikawa, "ID Sequence Analysis for Intrusion Detection in the CAN bus using Long Short Term Memory Networks," IEEE PerCom 2020, 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE, pp59-64, USA, Mar. 2020.

Divider: Delay-Time Based Sender Identification in Automotive Networks

Shuji Ohira, Araya Kibrom Desta, Tomoya Kitagawa, Ismail Arai, Kazutoshi Fujikawa, "Divider: Delay-Time Based Sender Identification in Automotive Networks," 2020 IEEE 44th Annual Computer Software and Applications Conference (COMPSAC), IEEE, pp.1490-1497, July. 2020.

Long Short-Term Memory Networks for Intrusion Detection Using Reverse Engineered Automotive Packets

Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa, "Long Short-Term Memory Networks for Intrusion Detection Using Reverse Engineered Automotive Packets," Journal of Information Processing, Vol.61, No.9, pp.1-12, Sep. 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, "MLIDS: Handling Raw High-Dimensional CAN Bus Data using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks," 2020 30th International Telecommunication Networks and Applications Conference (ITNAC), IEEE, pp.1-7, Nov. 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, "PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks," 2021 The 16th ACM ASIA Conference on Computer and Communications Security (ASIACCS), pp.176-186, June. 2021.

Rec-CNN: In-Vehicle Networks Intrusion Detection Using Convolutional Neural Networks Trained on Recurrence Plot

Kibrom Araya Desta, Shuji Ohira, Ismail Arai, and Kazutoshi Fujikawa, "Rec-CNN: In-Vehicle Networks Intrusion Detection Using Convolutional Neural Networks Trained on Recurrence Plots," Vehicular Communications, Mar. 2022.

U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks

Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa, "U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks," 2022 IEEE 46th Annual Computer Software and Applications Conference (COMPSAC), IEEE, pp.1481-1488, June. 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, "IVNPROTECT: Isolable and Traceable Lightweight CAN Bus Kernel-Level Protection for Securing In-Vehicle Communication," In Proceedings of the 9th International Conference on Information Systems Security and Privacy (ICISSP 2023), pp.17-28, Feb. 2023.

Offensive and Defensive Strategies on In-Vehicle Networks: Toward Disabling DoS Vulnerability

Shuji Ohira, "Offensive and Defensive Strategies on In-Vehicle Networks: Toward Disabling DoS Vulnerability," Nara Institute of Science and Technology, Graduate School of Science and Technology, Mar. 2023.

Certificates

• Associate CISSP - Certified Information Systems Security Professional
• AWS Certified Security – Specialty
• AWS Certified Solutions Architect – Associate
• AWS Certified Machine Learning Engineer – Associate
• AWS Certified AI Practitioner
• AWS Single Sign-On Subject Matter Expert etc.

Open Source

• 2026: Contributor, Keycloak #40558

Community service

• Technical Program Committee Member
  • IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT), 2023

Teaching

CAN Bus Hacking, 2019

CAN Bus Hacking, 2020

Java Programming, 2020

Grants

• Apr 2021 - Mar 2023: 車載ネットワークにおける電圧・遅延特性を用いた高精度・低コストな送信者識別手法
  • Grant-in-Aid for Young Scientists, Japan Society for the Promotion of Science

Awards

• July 2016: Scholarship Student, Hiroshima City University
• July 2017: Scholarship Student, Hiroshima City University
• Mar. 2018: 優秀作品賞, SecHack365
• July 2020: Scholarship Student, Nara Institute of Science and Technology
• Feb. 2023: Rising Star Award, Amazon Web Services Japan