Visualizing and Predicting the type of Malware in Security Dataset with Machine Learning using Python libraries and Tableau

Rahul Bajaj; Srishti Kohli

Visualizing and Predicting the type of Malware in Security Dataset with Machine Learning using Python libraries and Tableau

Authors: Rahul Bajaj, Srishti Kohli

Unique Paper ID: 148055
Volume: 5
Issue: 12
PageNo: 632-638

Keywords: security malware decision tree random-forest logistic regression

Abstract:
In this paper, the different varieties of malware have been introduced and explained. Using Tableau we have implemented a few visualisation techniques on a malware dataset to visualise the prime characteristics and attributes of the various kinds of malware. Furthermore, we have used python libraries for classification of malware from the data provided in the malware dataset, using machine learning algorithms (primarily Decision Trees and its variations) in jupyter notebook, to obtain a high level of accuracy.

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ISSN: 2349-6002
Volume: 5
Issue: 12
PageNo: 632-638

Visualizing and Predicting the type of Malware in Security Dataset with Machine Learning using Python libraries and Tableau

Available:https://ijirt.org/Article?manuscript=148055

16 Apr, 2018

Face Detection and Recognition & Investigation

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Journal no 47859

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