Lookup NU author(s): Dr Changyu Dong,
Dr Yilei Wang,
Professor Aad van Moorsel
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ACM, 2017.
For re-use rights please refer to the publisher's terms and conditions.
Cloud computing has become an irreversible trend. Together comes the pressing need for verifiability, to assure the client the correctness of computation outsourced to the cloud. Existing verifiable computation techniques all have a high overhead, thus if being deployed in the clouds, would render cloud computing more expensive than the on-premises counterpart. To achieve verifiability at a reasonable cost, we leverage game theory and propose a smart contract based solution. In a nutshell, a client lets two clouds compute the same task, and uses smart contracts to stimulate tension, betrayal and distrust between the clouds, so that rational clouds will not collude and cheat. In the absence of collusion, verification of correctness can be done easily by crosschecking the results from the two clouds. We provide a formal analysis of the games induced by the contracts, and prove that the contracts will be effective under certain reasonable assumptions. By resorting to game theory and smart contracts, we are able to avoid heavy cryptographic protocols. The client only needs to pay two clouds to compute in the clear, and a small transaction fee to use the smart contracts. We also conducted a feasibility study that involves implementing the contracts in Solidity and running them on the official Ethereum network.
Author(s): Dong C, Wang Y, Aldweesh A, McCorry P, van Moorsel A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: CCS '17 Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
Year of Conference: 2017
Online publication date: 03/11/2017
Acceptance date: 02/08/2017
Date deposited: 29/08/2017
Library holdings: Search Newcastle University Library for this item