Security issues and challenges of big data analytics and visualization

The big data environment supports to resolve the issues of cyber security in terms of finding the attacker. There are security challenges of big data as well as security issues the analyst must understand. In this paper, the challenges faced by an analyst include the fraud detection, network forensics, data privacy issues and data provenance problems are well studied. It is more focused on the tools and techniques of data mining for the use of big data analytics in terms of security and the use of techniques for security to protect big data in terms of applying encryption capabilities. This rigorous study leads to make use of available tools and techniques of data analytics in the systematic implementation of a security system as well as forensic system. The paper also proposes the Bayesian classification algorithm of classification mining is suitable for predicting the attack type in the internet worked environment. The forensic aspects of big data issues and challenges are more emphasized in order to help the forensic investigator in case of a network attack.