Secure kNN computation on encrypted databases
University of Hong Kong · Chinese University of Hong Kong
Abstract
Service providers like Google and Amazon are moving into the SaaS (Software as a Service) business. They turn their huge infrastructure into a cloud-computing environment and aggressively recruit businesses to run applications on their platforms. To enforce security and privacy on such a service model, we need to protect the data running on the platform. Unfortunately, traditional encryption methods that aim at providing "unbreakable" protection are often not adequate because they do not support the execution of applications such as database queries on the encrypted data. In this paper we discuss the general problem of secure computation on an encrypted database and propose a SCONEDB Secure Computation ON an…
Citation impact
- FWCI
- 21.73
- Percentile
- 100%
- References
- 26
Authors
4Topics & keywords
- Computer science
- Encryption
- Overhead (engineering)
- Database
- Cloud computing
- Secure multi-party computation
- Software as a service
- Computer security
- Industry, innovation and infrastructure