Macro Malware Detection using Machine Learning Techniques - A New Approach

Sergio De los Santos, José Torres

2017

Abstract

A malware macro (also called "macro virus") is the code that exploits the macro functionality of office documents (especially Microsoft Office’s Excel and Word) to carry out malicious action against the systems of the victims that open the file. This type of malware was very popular during the late 90s and early 2000s. After its rise when it was created as a propagation method of other malware in 2014, macro viruses continue posing a threat to the user that is far from being controlled. This paper studies the possibility of improving macro malware detection via machine learning techniques applied to the properties of the code.

Paper Citation

in Harvard Style

De los Santos S. and Torres J. (2017). Macro Malware Detection using Machine Learning Techniques - A New Approach . In Proceedings of the 3rd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-209-7, pages 295-302. DOI: 10.5220/0006132202950302

in Bibtex Style

@conference{icissp17,
author={Sergio De los Santos and José Torres},
title={Macro Malware Detection using Machine Learning Techniques - A New Approach},
booktitle={Proceedings of the 3rd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2017},
pages={295-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006132202950302},
isbn={978-989-758-209-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Macro Malware Detection using Machine Learning Techniques - A New Approach
SN - 978-989-758-209-7
AU - De los Santos S.
AU - Torres J.
PY - 2017
SP - 295
EP - 302
DO - 10.5220/0006132202950302