Securing big data in the Cloud by protected mapping over multiple providers
Chunming Rong, Hongbing Cheng, Martin Gilje Jaatun · 2016
The Cloud is increasingly being used to store and process big data, and conventional security mechanisms using encryption are either not sufficiently efficient or not suited to the task of protecting big data in the Cloud. In this paper we present an alternative approach which divides big data among multiple Cloud providers, and instead of protecting the data itself, protects the mapping of the various data elements to each provider using a trapdoor function. Our initial analysis indicates that this is an efficient and secure approach for securing big data.