Big Data Analytic for Intrusion Detection System

In recent times, with the ever-increasing use of Big Data, security has become the number one business concern. Due to the growth of cyberattacks, information security has become the overarching problem all over the world. Prevention alone is not the answer. Therefore, intrusion detection systems have been developed. Intrusion refers to hacking the system or a network that harms the security of information. Intrusion detection systems (IDS) are an essential element of the network security infrastructure and play a very important role in the detection of a large number of attacks. This paper introduces an analysis of network security issues and also represents the various works of current research in Big Data intrusion and detection systems. In this article, we discuss the recent approaches used for intrusion detection in Big Data and especially the predictive analysis proposed to minimize security problems.