Practical Secure Computation Outsourcing
| Autor: | Cong Wang, Zihao Shan, Kui Ren, Marina Blanton |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
business.industry Computer science Computation Data security 020206 networking & telecommunications Cloud computing 02 engineering and technology Cloud service provider Computer security computer.software_genre Theoretical Computer Science Outsourcing Software deployment 0202 electrical engineering electronic engineering information engineering Secure multi-party computation 020201 artificial intelligence & image processing Confidentiality business computer |
| Zdroj: | ACM Computing Surveys. 51:1-40 |
| ISSN: | 1557-7341 0360-0300 |
| DOI: | 10.1145/3158363 |
| Popis: | The rapid development of cloud computing promotes a wide deployment of data and computation outsourcing to cloud service providers by resource-limited entities. Based on a pay-per-use model, a client without enough computational power can easily outsource large-scale computational tasks to a cloud. Nonetheless, the issue of security and privacy becomes a major concern when the customer’s sensitive or confidential data is not processed in a fully trusted cloud environment. Recently, a number of publications have been proposed to investigate and design specific secure outsourcing schemes for different computational tasks. The aim of this survey is to systemize and present the cutting-edge technologies in this area. It starts by presenting security threats and requirements, followed with other factors that should be considered when constructing secure computation outsourcing schemes. In an organized way, we then dwell on the existing secure outsourcing solutions to different computational tasks such as matrix computations, mathematical optimization, and so on, treating data confidentiality as well as computation integrity. Finally, we provide a discussion of the literature and a list of open challenges in the area. |
| Databáze: | OpenAIRE |
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