TeeMAF: A TEE-Based Mutual Attestation Framework for On-Chain and Off-Chain Functions in Blockchain DApps
Xiangyu Liu, Brian Lee, Yuansong Qiao

TL;DR
TeeMAF introduces a TEE-based mutual attestation framework for blockchain DApps, enhancing trust between on-chain and off-chain functions while maintaining acceptable performance overhead.
Contribution
The paper presents a novel TEE-based framework for mutual attestation in blockchain DApps, enabling secure off-chain function execution and verification.
Findings
Framework ensures secure off-chain execution with mutual attestation.
Performance overhead is within acceptable range.
System verified on Ethereum and Hyperledger Caliper.
Abstract
The rapid development of Internet of Things (IoT) technology has led to growing concerns about data security and user privacy in the interactions within distributed systems. Decentralized Applications (DApps) in distributed systems consist of on-chain and off-chain functions, where on-chain functions are smart contracts running in the blockchain network, while off-chain functions operate outside the blockchain. Since smart contracts cannot access off-chain information, they cannot verify whether the off-chain functions, i.e. the software components, they interact with have been tampered or not. As a result, establishing mutual trust between the on-chain smart contracts and the off-chain functions remains a significant challenge. To address the challenge, this paper introduces TeeMAF, a generic framework for mutual attestation between on-chain and off-chain functions, leveraging Trusted…
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Taxonomy
TopicsSecurity and Verification in Computing · Distributed systems and fault tolerance · Physical Unclonable Functions (PUFs) and Hardware Security
