Macro Malware Detection using Machine Learning Techniques - A New Approach

Sergio De los Santos; José Torres

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Paper

Macro Malware Detection using Machine Learning Techniques - A New Approach

Topics: Data and Software Security; Malware Detection; Privacy, Security and Trust in Social Media; Software Security Assurance; Threat Awareness; Vulnerability Analysis and Countermeasures

In Proceedings of the 3rd International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 295-302, 2017 , Porto, Portugal

Authors: Sergio De los Santos and José Torres

Affiliation: Telefónica Digital Cyber Security Unit, Spain

Keyword(s): Macro, Malware, Office, Classification, Machine Learning.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:

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 - ICISSP; ISBN 978-989-758-209-7; ISSN 2184-4356, SciTePress, pages 295-302. DOI: 10.5220/0006132202950302

@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 - ICISSP},
year={2017},
pages={295-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006132202950302},
isbn={978-989-758-209-7},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP
TI - Macro Malware Detection using Machine Learning Techniques - A New Approach
SN - 978-989-758-209-7
IS - 2184-4356
AU - De los Santos, S.
AU - Torres, J.
PY - 2017
SP - 295
EP - 302
DO - 10.5220/0006132202950302
PB - SciTePress