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Network Intrusion Analysis using Clementine

Muhammad Iqbal Published in Security

International Journal of Applied Information Systems
Year of Publication: 2015
© 2013 by IJAIS Journal
Authors Muhammad Iqbal
10.5120/ijais15-451290
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  1. Muhammad Iqbal. Article: Network Intrusion Analysis using Clementine. International Journal of Applied Information Systems 8(3):1-6, February 2015. BibTeX

    @article{key:article,
    	author = "Muhammad Iqbal",
    	title = "Article: Network Intrusion Analysis using Clementine",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 8,
    	number = 3,
    	pages = "1-6",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Data mining is an extensive branch of computer science which garnered enormous interest from both academic and industry circles in the last decade. In this work, I would like to present our understanding of data mining under CRISP-DM framework and the use of data mining tool called Clementine, which is widely used in the industry. This paper is basically focuses on using Clementine software to detect anomalies such as odd access time of the machines inside the network from the external machines used in the DARPA simulation by analyzing the tcpdump list file.

Reference

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Keywords

Clementine, CRISP-DM framework