BLOCKCHAIN-BASED AGENT PLATFORM FOR CYBER THREAT INFORMATION SHARING

This thesis proposes a decentralized platform for sharing and analyzing cyber threat information, addressing fragmentation and interoperability issues with an agent-based approach. Agents are implemented as chaincode on a permissioned Hyperledger Fabric network, and are able to perform semantic reasoning directly on-chain via Smart Contracts. The approach combines a blockchain as immutable ledger, a formal ontology for modeling cybersecurity knowledge, and a lightweight logical inference engine (Tiny-ME) to transform raw data into contextualized and automated knowledge. Validation and performance evaluations support the feasibility of the proposal.