Implementing a Distributed Certificate Authority Using Elliptic Curve Cryptography for Big Data Environment

Improving security is necessary to secure the exchange of confidential documents and protection against unauthorized accesses in the big data environment. Sharing data across a large-scale distributed system by a group of non-trusted parties can lead to illegal modification and unauthorized access. Thus, a secure and fast authentication service to authenticate the user connecting to the system is imperative. Based on Elliptic Curve Cryptography (ECC), a Distributed Certificate Authority (DCA) scheme has been designed and implemented which can efficiently improve the authentication of big data in a distributed environment. The role of authentication is distributed amongst the many nodes included in groups. Each group has its own revocation and signature list instead of each node, and this way reduces system overhead and avoids consuming much time when verifying the nodes without a centralized server. The proposed scheme is demonstrated on a big dataset of social networks. The scheme has been analyzed on the basis of security criteria and compare it with previous schemes to evaluate its performance. The experiment shows that the proposed scheme is capable of consumes less memory and reduces time consumption.