6 papers
AI Identity: Standards, Gaps, and Research Directions for AI Agents
Takumi Otsuka, Kentaroh Toyoda, Alex Leung
AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous human supervision. This creates a problem no curren…
MCPThreatHive: Automated Threat Intelligence for Model Context Protocol Ecosystems
Yi Ting Shen, Kentaroh Toyoda, Alex Leung
The rapid proliferation of Model Context Protocol (MCP)-based agentic systems has introduced a new category of security threats that existing frameworks are inadequately equipped t…
Democratizing Federated Learning with Blockchain and Multi-Task Peer Prediction
Leon Witt, Kentaroh Toyoda, Wojciech Samek +1
The synergy between Federated Learning and blockchain has been considered promising; however, the computationally intensive nature of contribution measurement conflicts with the st…
MCP-38: A Comprehensive Threat Taxonomy for Model Context Protocol Systems (v1.0)
Yi Ting Shen, Kentaroh Toyoda, Alex Leung
The Model Context Protocol (MCP) introduces a structurally distinct attack surface that existing threat frameworks, designed for traditional software systems or generic LLM deploym…
Blockchain Data Analysis in the Era of Large-Language Models
Kentaroh Toyoda, Xiao Wang, Mingzhe Li +3
Blockchain data analysis is essential for deriving insights, tracking transactions, identifying patterns, and ensuring the integrity and security of decentralized networks. It play…
MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption
Mingzhe Li, Bo Gao, Kentaroh Toyoda +9
Traditional blockchain systems, such as Ethereum, typically rely on a \emph{single volatile cryptocurrency for transaction fees}. This leads to fluctuating transaction fee prices a…