Current Projects

The following Cyber SMART projects are currently underway:

• More Instant Messaging Interoperability Security
  • PI: Burger (VT), Co-PI: Frieder (GU)
  • Provide tamper-proof instant messaging across messaging platforms; provide an upgrade for Rich Communication Services and port away from Signal; and ensure the needs for national security and emergency preparedness communications are met.
• Decentralized Privacy-preserving Authentication/Identification w/ DID and Distributed VC
  • PI: Matsuo (GU), Co-PI: Burger (VT)
  • Produce a rigorous credential and key management framework by building upon and extending the Decentralized Identifier (DID), Verifiable Credential (VC), and Soul Bounded Token (SBT).
• Digital Asset and its Governance
  • PI: Matsuo (GU), Co-PI: Burger (VT)
  • Develop policies for digital assets at the national level for Japan and the U.S., as well as developing international norms for digital assets.
• LAYER 2 and Smart Contract Security
  • PI: Matsuo (GU), Co-PI: Burger (VT)
  • Investigate techniques to ensure smart contract security for layer-2 blockchain networks.
• Trustworthiness of AI
  • PI: Matsuo (GU), Co-PI: Burger (VT)
  • Develop policies and tooling for applying Large Language Models to ICT security, identify the level of human intervention for LLM-generated systems, as indicated by system risks.
• Policy CPS
  • PI: Matsuo (GU), Co-PI: Frieder (GU), Co-PI: Burger (VT)
  • Survey the development of cyber-physical systems, focusing on 6G, AI, Identity Management, Open RAN, and Cloud Native considering standardization, analyzing policy trends for the strategies of CPS in the 6G-era.
• AI-Enhanced Ambient Energy System at Renaissance District Pilot
  • PI: Nabrzyski (ND), Co-PI: Matsuo (GU)
  • Project Goals:

• • • An Urban Living Laboratory (ULL) is a collaborative space where stakeholders work
    • together to develop, test, and implement solutions to urban challenges. ULLs are a way to
      address complex problems by bringing together a variety of stakeholders, including
      citizens, companies, researchers, and the public sector.
    • University campuses, cities, have many sustainability, environmental, budgetary, and
      other challenges, and exploration of ULLs can help them solve many of these problems.
    • Together with Adrian Smith + Gordon Gill Architecture (ASGG), we propose to create an
      adaptive parametric model to address these challenges through the development of an
      Urban Living Laboratory.
    • We envision this system to be an AI Agentic system: a system of AI agents collaborating
      with real-time simulation models and real physical systems and data streams. In other
      words it is an AI-based Cyber-Physical System.

• • Planning Phase:
    • Analysis of the user community and stakeholders, and the specific grand challenge questions and design and construction
      operational tasks that the ULL would support;
    • Specific software elements and frameworks that are relevant to the ULL community, the sustainability challenges that need to be
      addressed, and why addressing these challenges will be transformative;
    • Appropriate software architectures and lifecycle processes, development, testing and deployment methodologies, validation and
      verification processes, end usability and interface considerations, and required infrastructure and technologies;
    • The required organizational, personnel and management structures and operational processes;
    • The requirements and necessary mechanisms for human resource development, including integration of the platform with
      stakeholders' software components, training, etc.;
    • Potential approaches for long-term sustainability of the ULL platform,
    • Potential risks including risks associated with establishment and execution, necessary infrastructure and associated technologies,
      community engagement, and long-term sustainability
    • An analysis of one end-to-end exemplar ULL components, and associated data and information workflows associated with that
      components with the purpose to identify areas where results from state of the art computer science research it might be applied
    • Initial technology testbed design for data integration and dissemination exploration