International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Intrusion Detection System over Big Data

Ashish Kokate, Prof. M. K. Nichat

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 the 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 a massive amount of data that flows in and out. In this paper, we are presenting 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.

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