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Research

Overview

According to the Society 5.0 vision put forward by the Japanese government, the cyber and physical spaces will be tightly integrated to build the future human-centered society. Moreover, the Internet of Things (IoT) and Cyber Physical Systems (CPS) have already started to become an integral part of our daily life, leading to new challenges and issues. These complex conditions place strong requirements regarding the trustworthiness of Society 5.0, and the key research question that our lab is focusing on is: How to ensure that the future Society 5.0 is a safe and secure environment?

Research Directions of Beuran Laboratory

Research Directions

To address the key research question mentioned above, our lab's activity focuses on four main directions that contribute from various perspectives to Society 5.0 trustworthiness. Moreover, several of the tools that we developed were released as open source on GitHub to support other researchers in this field.

Cybersecurity

The increase of cybersecurity threats in the current society makes it necessary to create robust systems that support cybersecurity-related activities. For this purpose, we leverage modern techniques such as AI and machine learning, and examples related to this research direction include:
  • Research on reinforcement learning agent training methodologies (e.g., for automated cyber defense)
  • LLM-based cybersecurity-related information processing (e.g., for attack path extraction from threat intelligence reports)
Cybersecurity Research Direction
PenGym framework for reinforcement learning agent training

IoT/CPS Security

IoT/CPS systems have specific characteristics, such as computation resource constraints and a complex System of Systems (SoS) nature. In order to address these issues, IoT/CPS security approaches require the use of suitable techniques, as highlighted in the examples below:
  • IoT network intrusion detection based on federated learning techniques
  • Smart building control system emulation platform for security testing
IoT/CPS Security Research Direction
Federated learning approach for IoT network intrusion detection

Trustworthiness Assurance

The Society 5.0 challenges must be thoroughly considered from the perspective of the five components of trustworthiness: safety, security, privacy, reliability and resilience. Examples of related activities include:
  • Develop a trustworthiness assurance framework that proposes an objective methodology to provide guarantees for all the five trustworthiness components
  • Conduct a case study on smart building control systems
Trustworthiness Assurance Research Direction
Trustworthiness assurance for Society 5.0

Security Education and Training

The human factor is an important component of cybersecurity, and we conduct research in the areas of technical security training, as well as awareness security training, as follows:
  • Research on cybersecurity training and awareness training systems (e.g., the integrated cybersecurity training framework CyTrONE)
  • Develop training content that matches participant skill level
  • Conduct actual cybersecurity training activities
Security Education and Training Research Direction
Hands-on technical security training using cyber ranges

Last modified: Tue Oct 15 13:27:46 JST 2024