Anomaly detection in network traffic using K mean clustering
With the advancement of digital age and internet technologies cyber attacks increasingly have been prompting the news headlines. These attacks exploit a network's short comings to gain unauthorized access to the sensitive information or sometimes just create a flood to prevent legitimate users from accessing it. In any case intrusion of the network plays a key role before the execution of any attack. In this paper we will discuss a how these intrusions can be detected with k means clustering based machine learning approach using big data analytical techniques and put forward the experimental results to prevent attacks at it's very core.
2016 3rd International Conference on Recent Advances in Information Technology (RAIT)