Analysis of Intruder Detection in Big Data Analytics

Network security and data security is gaining vital importance as the usage of applications on computer networks evolving now-a-days. Tremendous increase of data usage on real world computer networks leads to analyze/monitor these data for anomalous activity. Analyzing and monitoring these high volumes of data is termed big data analytics, which needs an efficient scheme to handle such big data and to model user behavior. In this study, we provide an overview of network intrusion detection models in big data. This study focuses on surveying large range of network intrusion detection models carried by various techniques including data mining, machine learning and deep learning techniques.