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Lecture notes in computer science

Secure Outsourced Computation

Jake Loftus, Nigel Paul Smart

Published Jan 1, 2011• 23 citations
Publisher
DOI
10.1007/978-3-642-21969-6_1

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In view of the problem that users’ informations are leaked and tampered possiblely exists at service terminal in existing outsourcing cloud computing protocols,a secure efficient and verifiable outsourcing protocol about determinant computing in the cloud was proposed.Firstly,the outsourcing computing protocol was based on the fuzz matrix technology and needed not under the premise of any difficulty assumptions to ensure the security of users’ informations.Secondly,by means of generating a special kind of transformation matrixes to deal with plaintext matrix,then after the users receive the returned results,the correctness of these results can be verified effectively,and the performance analysis shows this protocol can effectively improve the efficiency of outsourcing cloud computing.Finally,an electronic trading framework for determinant outsourcing computing was proposed,which could be effectively applied to e-commerce and other fields.

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Outsourcing computation for private function evaluation

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Outsourced secure multiparty computation (SMC) protocols allow resource-constrained devices to execute input-private computation with great efficiency. Unfortunately, existing outsourced SMC protocols require that all parties know the function being evaluated, precluding applications where the function itself must remain private. We develop the first linear-complexity protocols for outsourcing private function evaluation (PFE), SMC protocols that provide input and function privacy. Assuming a semi-honest function holder, we build on existing two-party PFE constructions to develop outsourced protocols that are secure against a semi-honest, covert, or malicious outsourcing server and malicious mobile participants. To do this, we develop a garbling technique for combining public and private sub-circuits in a single computation. This allows us to apply auxiliary checks for malicious behaviour using only free-XOR gates. These protocols demonstrate the feasibility of outsourced PFE and provide a first step towards privacy-preserving applications for use in cloud computing.

International Journal of Information and Computer Security•Jan 1, 2019•1 citation
In view of the problem that users’ informations are leaked and tampered possiblely exists at service terminal in existing outsourcing cloud computing protocols,a secure efficient and verifiable outsourcing protocol about determinant computing in the cloud was proposed.Firstly,the outsourcing computing protocol was based on the fuzz matrix technology and needed not under the premise of any difficulty assumptions to ensure the security of users’ informations.Secondly,by means of generating a special kind of transformation matrixes to deal with plaintext matrix,then after the users receive the returned results,the correctness of these results can be verified effectively,and the performance analysis shows this protocol can effectively improve the efficiency of outsourcing cloud computing.Finally,an electronic trading framework for determinant outsourcing computing was proposed,which could be effectively applied to e-commerce and other fields.
Outsourced secure multiparty computation (SMC) protocols allow resource-constrained devices to execute input-private computation with great efficiency. Unfortunately, existing outsourced SMC protocols require that all parties know the function being evaluated, precluding applications where the function itself must remain private. We develop the first linear-complexity protocols for outsourcing private function evaluation (PFE), SMC protocols that provide input and function privacy. Assuming a semi-honest function holder, we build on existing two-party PFE constructions to develop outsourced protocols that are secure against a semi-honest, covert, or malicious outsourcing server and malicious mobile participants. To do this, we develop a garbling technique for combining public and private sub-circuits in a single computation. This allows us to apply auxiliary checks for malicious behaviour using only free-XOR gates. These protocols demonstrate the feasibility of outsourced PFE and provide a first step towards privacy-preserving applications for use in cloud computing.