Study And Analysis Of Hadoop Based Network Intrusion Detection System.
Journal Title: International Journal of Engineering and Science Invention - Year 2017, Vol 6, Issue 12
Abstract
Network security is a paramount concern for the organization. To secure the network, we have traditional network intrusion detection systems and firewalls but they have limitations like size of training data sets .With the inception of Hadoop technology, in industry, recently researchers have started using this new technology with traditional machine learning algorithms which generally uses pattern matching, to design and develop network intrusion detection system based on streaming of big-data using Hadoop that checks for intrusions in massive amount of data that flows in and out. In this paper, we are proposing a study and analysis of various Hadoop based network intrusion systems. Here the parameters used for comparison are detection rate and false-positive alarm rate.
Authors and Affiliations
Riyaz Ahmed Jamadar, Himani Gupta, Ankit Baghel, Rituraj . , Nimish Bhandare
Keywords
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