Formal Modeling and Verification of Blockchain Consensus Protocols using Symbolic Execution

Abstract

Blockchain technology has garnered significant attention as a revolutionary distributed ledger system. However, the security and efficiency of blockchain consensus protocols – the mechanisms that ensure agreement among nodes – remain a critical concern. These protocols are often characterized by intricate designs and complex interactions, making traditional testing methods insufficient to guarantee their robustness. This paper proposes a novel approach to formally model and verify blockchain consensus protocols using symbolic execution. Symbolic execution allows us to systematically explore all possible execution paths of a protocol, identifying potential vulnerabilities, inefficiencies, and deviations from the intended behavior. By representing variables with symbolic values rather than concrete values, we can create a comprehensive model that captures the protocol's logic without being constrained by specific data. This approach offers a rigorous and automated method for assessing the security and performance of blockchain consensus protocols, ultimately contributing to the development of more trustworthy and reliable decentralized systems.