Malware Detection

by Priyanka Nandal

Overview

In the present work the behavior of malicious software is studied, the security challenges are understood, and an attempt is made to detect the malware behavior automatically using dynamic approach. Various classification techniques are studied. Malwares are then grouped according to these techniques and malware with unknown characteristics are clustered into an unknown group. The classifiers used in this research are k-Nearest Neighbors (kNN), J48 Decision Tree, and n-grams.

Product Details

ISBN-13:	9783960672081
Publisher:	Anchor Academic Publishing
Publication date:	12/14/2017
Pages:	72
Product dimensions:	5.83(w) x 8.27(h) x 0.15(d)