Cryptology ePrint Archive: Report 2017/179
REM: Resource-Efficient Mining for Blockchains
Fan Zhang and Ittay Eyal and Robert Escriva and Ari Juels and Robbert van Renesse
Abstract: Blockchains show promise as potential infrastructure for financial transaction systems. The security of blockchains today, however, relies critically
on Proof-of-Work (PoW), which forces participants to waste computational resources.
We present REM (Resource-Efficient Mining), a new blockchain mining framework that uses trusted hardware (Intel SGX).
REM achieves security guarantees similar to PoW, but leverages the partially decentralized trust model inherent in SGX to achieve a fraction of the waste of PoW. Its key idea, Proof-of-Useful-Work (PoUW), involves miners providing trustworthy reporting on CPU cycles they devote to inherently useful workloads. REM flexibly allows any entity to create a useful workload. REM ensures the trustworthiness of these workloads by means of a novel scheme of hierarchical attestations that may be of independent interest.
To address the risk of compromised SGX CPUs, we develop a statistics-based formal security framework, also relevant to other trusted-hardware-based approaches such as Intel's Proof of Elapsed Time (PoET).
We show through economic analysis that REM achieves less waste than PoET and variant schemes.
We implement REM and, as an example application, swap it into the consensus layer of Bitcoin core.
The result is the first full implementation of an SGX-based blockchain.
We experiment with four example applications as useful workloads for our implementation of REM, and report a computational overhead of $5-15\%$.
Category / Keywords: Intel SGX, trusted hardware, blockchain, consensus
Date: received 22 Feb 2017, last revised 6 Mar 2017
Contact author: fz84 at cornell edu
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Version: 20170306:192419 (All versions of this report)
Short URL: ia.cr/2017/179
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