An Efficient Authentication Scheme to Protect User Privacy in Seamless Big Data Services

Recently, due to the increase in the volume and types of data processed in cloud environments, methods that allow easy access to Big Data stored in heterogeneous devices in different network environments are in demand. This study proposes a security management scheme that allows users to easily access Big Data from different network environments by assigning a key shared among users and servers, and linking Big Data and user’s attribute information in order to protect the privacy of users using Big Data in cloud environments and the data itself. The proposed scheme possesses a high level of safety even when the user-generated random-bit signal is interrupted or modulated by a third party. It is also used in sharing users’ security awareness information since it passes sufficient random bits. In addition, users’ anonymity is guaranteed because the scheme passes hash-chained bit sequence values so the bit sequence that generates security awareness information is not exposed unnecessarily to a third party.