Culminating Project Title

Security Log Analysis Using Hadoop

Date of Award

3-2017

Culminating Project Type

Starred Paper

Degree Name

Information Assurance: M.S.

Department

Information Assurance and Information Systems

College

Herberger School of Business

First Advisor

Dennis Guster

Second Advisor

Susantha Herath

Third Advisor

Sneh Kalia

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Hadoop is used as a general-purpose storage and analysis platform for big data by industries. Commercial Hadoop support is available from large enterprises, like EMC, IBM, Microsoft and Oracle and Hadoop companies like Cloudera, Hortonworks, and Map Reduce. Hadoop is a scheme written in Java that allows distributed processes of large data sets across clusters of computers using programming models. A Hadoop frame work application works in an environment that provides storage and computation across clusters of computers. This is designed to scale up from a single server to thousands of machines with local computation and storage. Security breaches happen most frequently nowadays which can be found out by monitoring the server logs. This server-log analysis can be done by using Hadoop. This takes the analysis to the next level by improving security forensics which can be done as a low-cost platform.

Available for download on Tuesday, January 23, 2018

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