Distributed Secure Big Data Visualization Using Block Chain

Abstract

Analysis of big temporal data is considered as prime task in many of today’s applied scenarios. Data visualization provides a comprehensive inspection and exploration of this big data. But with the huge and sheer volume of data generated, interactive scalable visualization and processing is considered as a constant challenge for analytics. This size of the big temporal data is much larger than what we can managed on an average desktop processor. Also, each new visualization requires both traversing the entire dataset and only viewing a small subset of the whole data or may be again. Therefore, decentralized data visualization is solution to these challenges. To achieve a real-time decentralized, highly available, scalable, and immutable visualization of large-scale temporal data, blockchain technology can be used. A Distributed, highly available, immutable visualization of data that is managed by group of devices having no single authority. Since it is a shared and immutable and decentralized, a decentralized consensus has been claimed with a Blockchain. Due to its decentralized and transparent nature, everyone involved is answerable for their actions. This will solve the scalability issue integrated in nature big temporal data as data is distributed. Also, highly availability of visualization is achieved. In this research, a secure decentralized big data visualization is proposed which will use benefits blockchain paradigm to make this visualization scalable, modular, immutable, highly decentralized, and highly available to corresponding people. For this purpose, a temporal big data set for crime rate is taken as case study to incorporate proposed research. Decentralized and highly available visualization are formed for users. It will allow users/people or organization to gain instant trust as it is secure and highly available visualization which in terms achieve secure, completely distributed, and productive outputs for analysis.