Secure confidential big data sharing in cloud computing using KP-ABE

Abstract

In recent year, cloud computing and big data have become the hottest research topics which attract the attention of researchers due to its potential to provide major benefits to the industry and the community. Currently, the Organizations have a new option to outsource their massive data in the cloud without having to worry about the size of data or the capacity of memory. However, moving confidential and sensitive data from trusted domain of the data owners to public cloud will cause various security and privacy risks. Furthermore, the increasing amount of big data outsourced in the cloud increases the chance of breaching the privacy and security of these data. Despite all the research that has been done in this area, big data storage security and privacy remains one of the major concerns of organizations that adopt the cloud computing and big data technologies. Thus to ensure better data security we need for focus on two major problems which are the access control and encryption policies. In this paper, we propose a new hybrid model that enhances the security and privacy of big data shared in cloud environment using an access control scheme based on KP-ABE and authentication system. Our approach provides a flexible fine-grained access control of big data stored and shared in the cloud computing such that the encrypted data can only be accessed by authorized users.