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POSE: Practical Off-chain Smart Contract Execution

Tommaso Frassetto, Patrick Jauernig, David Koisser, David Kretzler, Benjamin Schlosser, Sebastian Faust, Ahmad-Reza Sadeghi

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Abstract

Smart contracts enable users to execute payments depending on complex program logic. Ethereum is the most notable example of a blockchain that supports smart contracts leveraged for countless applications including games, auctions and financial products. Unfortunately, the traditional method of running contract code on-chain is very expensive, for instance, on the Ethereum platform, fees have dramatically increased, rendering the system unsuitable for complex applications. A prominent solution to address this problem is to execute code off-chain and only use the blockchain as a trust anchor. While there has been significant progress in developing off-chain systems over the last years, current off-chain solutions suffer from various drawbacks including costly blockchain interactions, lack of data privacy, huge capital costs from locked collateral, or supporting only a restricted set of applications.
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\nIn this paper, we present POSE—a practical off-chain protocol for smart contracts that addresses the aforementioned shortcomings of existing solutions. POSE leverages a pool of Trusted Execution Environments (TEEs) to execute the computation efficiently and to swiftly recover from accidental or malicious failures. We show that POSE provides strong security guarantees even if a large subset of parties is corrupted. We evaluate our proof-of-concept implementation with respect to its efficiency and effectiveness.

Topics & Concepts

Computer scienceSmart contractBlockchainComputer securityPaymentCode (set theory)Rendering (computer graphics)Protocol (science)Common value auctionDistributed computingSet (abstract data type)Programming languageWorld Wide WebMathematicsComputer graphics (images)MedicineStatisticsPathologyAlternative medicineBlockchain Technology Applications and SecuritySecurity and Verification in ComputingAdvanced Malware Detection Techniques