Security-aware optimization design for in-vehicle network with guaranteed real-time requirement

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K11920
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60060:Information network-related
• Research Institution: Nagoya University
• Principal Investigator: ZENG GANG 名古屋大学, 工学研究科, 講師 (90456632)
• Co-Investigator(Kenkyū-buntansha): 倉地 亮 名古屋大学, 情報学研究科, 特任准教授 (10568059)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: in-vehicle network / security measure / real-time system / optimization design / controller area network

Outline of Final Research Achievements

In recent years, numerous security threat cases have been identified in the field of In-Vehicle control Network (IVN). The challenge in implementing security enhancements in IVN lies in the simultaneous achievement of low-cost implementation on ECU and real-time guarantees. This study focuses on complex IVN systems and aims to design an IVN that ensures both security reinforcement and real-time guarantees through the following three research achievements: (1)security requirement analysis of IVN and development of corresponding security enhancement techniques, (2)proposal of design methods for IVN optimization considering security aspects, and (3) investigation of the impact of security enhancements on real-time performance in IVN and proposal of countermeasures. The research considers practical security models and the characteristics of real-world IVN. The obtained results are expected to contribute to academic research and have significant implications for the automotive industry.

Free Research Field

情報ネットワーク

Academic Significance and Societal Importance of the Research Achievements

本研究では、益々複雑になるIVNのメッセージの最大遅延時間解析の基礎理論から、実際の自動車に適用可能なセキュリティ強化機能とIVNの最適化設計手法の開発を実施した。理論的な研究から実用化までを目指し、実用的なセキュリティモデルと実際のIVNの特徴を考慮しながら、研究を進めた。新規性と実用性の高い研究成果により、学術的な価値に加え、自動車産業に対する波及効果も大きいと考えられる。