Table of Contents

2017 Month : February Volume : 3 Issue : 1 Page : 14 to 16

SURVEY ON INTRUSION DETECTION ON NETWORK USING BIG DATA ANALYTICS WITH HADOOP.

Y. S. Kalai Vani1

Corresponding Author:
Dr. Y. S. Kalai Vani,
No. 5, ”Akshaya Residency”,
31/4, First Main Road,
Shiva Shankar,
Hebbal, Bangalore-24
E-mail: kalaiys@rediffmail.com

 

ABSTRACT

Big Data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage and process the data within a tolerable elapsed time. Big Data describes data sets that are too large to unstructured or too fast changing for analysis. Big Data analytics is the process of analysing and mining Big Data. Due to increase in number of sophisticated targeted threats and rapid growth in data, the analysis of data becomes too difficult. In this review paper, we are discussing about technique how Big Data is analysed by using the technique of Hadoop and why the Big Data Security Analytics is important to mitigate the security threats to secure the enterprise data more efficiently.

 

Keywords

Big Data Analytics, Hadoop, Map Reduce, Big Data, Security Analytics, Targeted Attacks.

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