An Identity-Based Authentication Framework for Big Data Security

Abstract

Big data raises a robust need for a network structure with the ability to support information retrieval and sharing. Many companies start to supply of big data services for Internet users and at the same time, these services also bring sever all security issues. Presently, the great part of big data set provides digital identity for users to use their services. At the moment, most of these systems use asymmetric and conventional public key cryptography (PKC) to give mutual authentication data security. However, existing authentication schemes trust commonly on the centralized servers to offer record and facilitation facilities for information retrieval. Pairing-free identity-based cryptography has some pull characteristics that gives the idea to healthy requirements in that scenario. The presented scheme is carried out in three phases and are as follows: initialization phase, registration phase and mutual authentication, and session key agreement phase. Detailed security analyzes have been made to authenticate big data server and user. Further, the paper has the resistance to possible attacks in this environment.