Toshiaki Aoki

Formal Methods and Verification Tools for Next-generation Automotive System Platforms

Grant No.：JPMJCR23M1

Research Director

Toshiaki Aoki

Collaborator

Daisuke Ishii	Associate Professor Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology
Takashi Tomita	Associate Professor Research Center for Advanced Computing Infrastructure Japan Advanced Institute of Science and Technology

Outline

In this research, we propose formal methods and verification tools to ensure the safety and reliability of next-generation automotive system platforms. The formal methods consist of a formal specification language, a control specification language, and formal verification methods using these languages. We propose the verification tools to support them as well. Such formal methods and verification tools cover the recognition to control functions of the next-generation automotive system platforms, and we stick in their practical application to real systems. The results of this research are expected to drastically improve the safety and reliability of automotive systems, and that will contribute to realizing our safe and reliable mobility society with next-generation cars including autonomous cars.

Yuko Hara-Azumi

Development of Design Fundamentals for Trustworthy IoT Systems

Grant No.：JPMJCR23M2

Research Director

Yuko Hara-Azumi

Collaborator

Mitsugu Iwamoto	Professor Graduate School of Informatics and Engineering The University of Electro-Communications
Kazuo Sakiyama	Professor Graduate School of Informatics and Engineering The University of Electro-Communications

Outline

Nowadays various third parties (e.g., foundries) are involved in the IC fabrication process, leading to serious issues such as IC design (IP) theft and counterfeit. This project addresses a novel, fundamental mechanism to comprehensively achieve IP protection and authenticity check of legitimate ICs, which is built on top of advanced cryptography along with extraction and modelling of safety requirements in the entire IC supply chain. This project also aims to realize IC design technologies and their design environments to integrate the developed scheme into individual ICs at design time.

Yasuko Matsubara

Evolutionary Real-Time AI Platform for Micro-Edge Devices

Grant No.：JPMJCR23M3

Research Director

Yasuko Matsubara

Collaborator

Masayuki Endo	Professor Graduate School of Medicine Osaka University
Yasushi Sakurai	Professor Sanken Osaka University
Noriyuki Miura	Professor Graduate School of Information Science and Technology Osaka University
Takeshi Yamakami	General Manager Central Research Center TOPPAN Edge Inc.

Outline

The aim of this study is to develop a self-evolving secure edge AI technology platform that simultaneously realizes highly accurate analysis, self-learning, prediction, and optimization for various “personal IoT big data” generated by individuals and autonomous high-speed and secure compact edge processing. In particular, we focus on data utilization in the medical and healthcare fields, where privacy and security are essential, and will promote applications to systems in the fields of obstetrics, IoT, healthcare, etc., as a PoC.

Tatsuya Mori

Security Assessment and Countermeasure Framework for AI-Driven Cyber-Physical Systems

Grant No.：JPMJCR23M4

Research Director

Tatsuya Mori

Collaborator

Jun Sakuma	Professor School of Computing Institute of Science Tokyo
Kenji Sawada	Associate professor Info-Powered Energy System Research Center The University of Electro-Communications
Takeshi Sugawara	Associate professor Graduate School of Informatics and Engineering, School of Informatics and Engineering The University of Electro-Communications
Kentaro Yoshioka	Assistant Professor Faculty of Science and Technology Keio University

Outline

With the advancements in AI technology and robotics, AI-driven Cyber-Physical Systems (AI-CPS) have gained significant attention, with autonomous vehicles being a prime example. This research project focuses on the threats posed by adversarial inputs to AI-CPS, aiming to systematize security evaluation methods and establish foundational software for countermeasure techniques. The primary objectives are the security assessment of technological components, evaluation of the entire system, and the development of foundational software.