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Malware behavior image for malware variant identification

Several methods have been devised by researchers to facilitate malware analysis and one of them is through malware visualization. Malware visualization is a field that focuses on representing malware features in a form of visual cues that could be used to convey more information about a particular m...

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Main Authors: Mohd. Shaid, Syed Zainudeen, Maarof, Mohd. Aizaini
Format: Conference or Workshop Item
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/59365/
http://dx.doi.org/10.1109/ISBAST.2014.7013128
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spelling my.utm.593652021-08-15T01:14:31Z http://eprints.utm.my/id/eprint/59365/ Malware behavior image for malware variant identification Mohd. Shaid, Syed Zainudeen Maarof, Mohd. Aizaini QA75 Electronic computers. Computer science Several methods have been devised by researchers to facilitate malware analysis and one of them is through malware visualization. Malware visualization is a field that focuses on representing malware features in a form of visual cues that could be used to convey more information about a particular malware. There has been works in malware visualization but unfortunately, there seems to be a lack of focus in visualizing malware behavior. In this paper, we highlight our findings in visualizing malware behavior and its potential benefit for malware classification. Our research shows that malware behavior visualization can be used as a way to identify malware variants with high accuracy. 2015-01-16 Conference or Workshop Item PeerReviewed Mohd. Shaid, Syed Zainudeen and Maarof, Mohd. Aizaini (2015) Malware behavior image for malware variant identification. In: 4th International Symposium on Biometrics and Security Technologies, ISBAST 2014, 26 August 2014 - 27 August 2014, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ISBAST.2014.7013128
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd. Shaid, Syed Zainudeen
Maarof, Mohd. Aizaini
Malware behavior image for malware variant identification
description Several methods have been devised by researchers to facilitate malware analysis and one of them is through malware visualization. Malware visualization is a field that focuses on representing malware features in a form of visual cues that could be used to convey more information about a particular malware. There has been works in malware visualization but unfortunately, there seems to be a lack of focus in visualizing malware behavior. In this paper, we highlight our findings in visualizing malware behavior and its potential benefit for malware classification. Our research shows that malware behavior visualization can be used as a way to identify malware variants with high accuracy.
format Conference or Workshop Item
author Mohd. Shaid, Syed Zainudeen
Maarof, Mohd. Aizaini
author_facet Mohd. Shaid, Syed Zainudeen
Maarof, Mohd. Aizaini
author_sort Mohd. Shaid, Syed Zainudeen
title Malware behavior image for malware variant identification
title_short Malware behavior image for malware variant identification
title_full Malware behavior image for malware variant identification
title_fullStr Malware behavior image for malware variant identification
title_full_unstemmed Malware behavior image for malware variant identification
title_sort malware behavior image for malware variant identification
publishDate 2015
url http://eprints.utm.my/id/eprint/59365/
http://dx.doi.org/10.1109/ISBAST.2014.7013128
_version_ 1709667353599410176
score 13.209306

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