Title: Measuring the utility of Kernel and User level data for Dynamic Malware Analysis

Funder
Engineering and Physical Sciences Research Council

Principal Investigator

Nunes, Matthew


Co-Investigators
Burnap, Peter


Project Details

Start date: 01/10/2015

End date: 30/09/2019

Abstract

The aim of this research is to assess the best way to gather system calls when trying to detect malware. This research performs an extensive analysis on data collected from user-level and data collected from kernel-level in order to determine which is better suited to classifying malware.


Related Datasets


Last updated on 2019-08-08 at 13:55