ERTLEmbedded Real-Time Systems Laboratory

Network Group

Objectives

The Embedded Security Group conducts research on foundational security technologies that support next-generation in-vehicle networks and IoT systems. As embedded systems such as automobiles become increasingly networked and sophisticated, ensuring safety and reliability against cyberattacks and system failures has become a critical challenge.

Our group studies methods to achieve both real-time performance and security, including worst-case response time analysis, intrusion detection, and resilience evaluation against adversarial attacks in next-generation in-vehicle networks. We are also developing realistic verification platforms, such as time synchronization mechanisms for in-vehicle simulation environments and fuzz testing techniques for embedded software.

Furthermore, by leveraging Web3 technologies—such as blockchain, smart contracts, and self-sovereign identity (SSI)—we are designing and implementing new decentralized security architectures. These include user-centric IoT platforms, privacy-preserving data sharing frameworks, and the application of smart contracts in embedded systems. Through these efforts, we aim to contribute to the realization of safe, secure, and dependable embedded systems for the next generation of connected technologies.

Topics

  • Worst-case response time analysis for next-generation in-vehicle networks
  • Intrusion detection in next-generation in-vehicle networks
  • Adversarial attacks targeting next-generation automotive systems
  • Time synchronization mechanisms for simulation environments of in-vehicle systems
  • Fuzzing for embedded systems and software
  • Privacy-preserving data sharing based on blockchain
  • User-centric IoT platforms utilizing Web3 technologies
  • Smart contract execution platforms for embedded systems

Members

Staffs

  • Hiroaki Takada
  • Ryo Kurachi
  • Yutaka Matsubara
  • Yixiao Li

Students

  • Shinpou Tsuchimoto
  • Yuxiao Wu
  • Akari Sasaki
  • Yuha Morizane
  • Luyonghe Li
  • Hidetoshi Okada
  • Kazuki Iwami