Towards Eidetic Blockchain Systems with Enhanced Provenance

Modern blockchain systems with smart contract support are continuing to be rapidly adopted across various industry sectors and are increasingly used to manage valuable assets. As the size and complexity of smart contract applications increases, so are the coding errors, exploit potential, and regulation requirements. For these reasons, it has become necessary to efficiently manage the system's historic execution information, or provenance, to enable efficient analysis. Existing approaches facilitate historic data access, however, they do not support tracking what initiated the changes or why the states mutated. To address this, we propose a system that enables efficient management of historic smart contracts calls, their parameters, and the blockchain state before and after a call. We further explore how querying this historic data in different granularity levels can facilitate the analysis of a use case example comprised of multiple smart contract calls across different entities.