Master's Thesis Jonas Gebele

Analyse der Architektur, Mechanismen und Anwendungsfälle von SUAVE

Abstract

This thesis analyses SUAVE (Single Unifying Auction for Value Expression), a novel blockchain protocol designed to address challenges around Maximal Extractable Value (MEV) extraction, privacy preservation, and scalability in blockchain systems. The research analyzes SUAVE’s architecture, development process, and potential applications, focusing on its use of Trusted Execution Environments (TEEs) for confidential computing and verifiable off-chain computation. The thesis employs a comprehensive analysis of SUAVE’s technical documentation, source code, and proposed use cases. It examines the protocol’s implementation roadmap, core components, and development toolkit for SUAVE applications (SUAPPs). Additionally, the research explores potential applications in areas such as Sybil attack mitigation, decentralized finance, and privacy-preserving machine learning. Findings reveal SUAVE’s potential to decentralize processes that currently rely on trusted centralized entities for temporal confidentiality. The protocol’s architecture demonstrates promise in executing confidential computations while maintaining blockchain integrity. However, the research also identifies areas requiring further development, including TEE security, consensus mechanisms, and governance processes. This thesis concludes that SUAVE represents a significant advancement in blockchain technology, offering innovative solutions to centralization in the MEV supply chain and enhancing privacy and scalability. The study contributes to the understanding of emerging TEE-based blockchain infrastructures and their potential impact on decentralized systems, while also highlighting areas for future research and development in the field.

Research Objectives

1. Analyze SUAVE’s architecture and mechanisms
2. Evaluate the toolkit and resources for SUAVE application development
3. Explore potential applications enabled by SUAVE