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An Approach for Security Information and Event Management with Hadoop MapReduce


Anand Mehta , GTU PG SCHOOL; Anand Mehta, GTU PG SCHOOL; Manish Abhishek, RailTel Corporation of India Ltd


SIEM, Security, Big Data, Hadoop, MapReduce, HDFS, Kibana


Now a days, technology gives more profits in the municipal sector and private sector as well as the threats and influence of the coercions also high. This is a very problematic to promise a safety in a PC and IT systems because of the swiftly expansion of IT skills and except the Information Technology structure analysis of log is very significant. Infrastructure weaknesses is revealing openly due to lake of safety. This article contains an approach for design SIEM for handle large amount of log data Hadoop prospective is a best, with the help of the HDFS file structure and MapReduce mechanism processing of the logs is faster. So the user in a network operation room can visualize the attack or suspicious activity in real time.

Other Details

Published in: Conference 10 : NCACSET 2017
Publication Date: 06/05/2017
Page(s): 4-7

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