Posted May 23, 2019
Smart Contracts Augmented with Learning and Semantics
Summary

Use AI agents to predict, detect, and fix unexpected situations (i.e., "exceptions") on blockchain platforms.

Key Findings
  • Mechanism for “break glass scenarios”
  • Ontologies for blockchains in the healthcare domain.
  • New method to handle lost or stolen private keys

Publications

Yanlin Zhu, Lirong Xia, and Oshani Seneviratne. “A Proposal for Account Recovery in Decentralized Applications”; Proceedings of the IEEE Blockchain Conference 2019.

Mengyi Li, Lirong Xia and Oshani Seneviratne. “Leveraging Standards Based Ontological Concepts in Distributed Ledgers: A Healthcare Smart Contract Example”; Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures 2019.

Shuze Liu, Farhad Mohsin, Lirong Xia and Oshani Seneviratne. “Strengthening Smart Contracts to Handle Unexpected Situations”; Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures 2019.