Study on Big Data Analytics for Information Security System

Big Data Analytics (BDA) is one of the main stream technologies that change our perspectives on processing of information. Together with information security, BDA could be an extremely effective tool to learn more about communication and social networks. There will be infinite possibilities to find new methods of tracking cybercrimes using big data from different sources. BDA in information security also changes about security algorithms; they must change from a small data paradigm to big ones. This special issue is to analyse how the latest trends in this area help learn more about cyberspace and new threats using big data approaches. It contains seven papers and the details were listed as follows: on the Big Data visualization as well as to the classification of the main challenges of integrating the technology. Big data analytics in security involves the ability to gather massive amounts of digital information to analyse, visualize and draw insights that can make it possible to predict and stop cyber attacks. Along with security technologies, it gives us stronger cyber defence posture. They allow organizations to recognize patterns of activity that represent network threats. In this paper, we focus on how Big Data can improve information security best practices