Secure Model Based on Multi-cloud for Big Data Storage and Query
Zhendong Yang, Liangmin Wang, Xiangmei Song · 2016
Database-as-a-Service provides a scalable cloud database for data owners. However, existing cloud database has its limitations. Intermittent unavailability of cloud service increases the response time for the database. In addition, vendor lock-in makes it difficult for data owners to change the service provider when necessary. In this paper, we propose a secure model based on multi-cloud, adopting secret sharing algorithm to upload the encrypted data to clouds and supporting SQL queries on encrypted data. In our model, most computations are performed in the clouds in order to increase query efficiency. We implemented this model as a client application which is proven to be practical. We observed that our model can improve the availability of cloud database and ensure the data security in multi-cloud. Moreover, this model reduces the query processing time compared to other encrypted cloud database without increasing the cost of cloud service.