Title
Sealed-Glass Proofs: Using Transparent Enclaves to Prove and Sell Knowledge
Abstract
Trusted hardware systems, such as Intel's new SGX instruction set architecture extension, aim to provide strong confidentiality and integrity assurances for applications. Recent work, however, raises serious concerns about the vulnerability of such systems to side-channel attacks. We propose, formalize, and explore a cryptographic primitive called a Sealed-Glass Proof (SGP) that models computation possible in an isolated execution environment with unbounded leakage, and thus in the face of arbitrary side-channels. A SGP specifically models the capabilities of trusted hardware that can attest to correct execution of a piece of code, but whose execution is transparent, meaning that an application's secrets and state are visible to other processes on the same host. Despite this strong threat model, we show that SGPs enable a range of practical applications. Our key observation is that SGPs permit safe verifiable computing in zero-knowledge, as data leakage results only in the prover learning her own secrets. Among other applications, we describe the implementation of an end-to-end bug bounty (or zero-day solicitation) platform that couples a SGX-based SGP with a smart contract. Our platform enables a marketplace that achieves fair exchange, protects against unfair bounty withdrawals, and resists denial-of-service attacks by dishonest sellers. We also consider a slight relaxation of the SGP model that permits black-box modules instantiating minimal, side-channel resistant primitives, yielding a still broader range of applications. Our work shows how trusted hardware systems such as SGX can support trustworthy applications even in the presence of side channels.
Year
DOI
Venue
2017
10.1109/EuroSP.2017.28
2017 IEEE European Symposium on Security and Privacy (EuroS&P)
Keywords
DocType
ISBN
Side Channels,Trusted Hardware,Smart Contracts
Conference
978-1-5090-5763-4
Citations 
PageRank 
References 
14
0.54
25
Authors
6
Name
Order
Citations
PageRank
Florian Tramèr146326.53
Fan Zhang223412.75
Huang Lin31406.68
J. -P. Hubaux410006772.23
Ari Juels57263590.42
Elaine Shi64258220.79