DocumentCode :
1384551
Title :
Navigating and visualizing the malware intelligence space
Author :
Massicotte, Frédéric ; Couture, Mathieu ; Normandin, Hugues ; Létourneau, Mathieu
Author_Institution :
Canadian Cyber Incident Response Centre (CCIRC), Canada
Volume :
26
Issue :
6
fYear :
2012
Firstpage :
19
Lastpage :
25
Abstract :
There is now a shift from traditional Cyber Security to Cyber Intelligence. We are only beginning to leverage the intelligence that can be extracted from the thousands of malware samples that are currently being gathered on a daily basis. By automatically creating analysis reports for each of these malware samples, it is possible to improve our understanding of the current cyber security situation on the Internet and of how malware evolves over time. However, research is still required in order to extract, summarize, and present this information to leverage its full potential. In this article, we present two approaches to navigate and visualize what we call the Malware Intelligence Space (i.e., the documentation of millions of malware samples). The first approach, called BeAVER, was built to navigate the Malware Intelligence Space. The second approach, called Malware Threat Radar, was designed to visualize relationships between malware samples and their evolution over time. We also present the technological detail of our implementation prototypes.
Keywords :
Internet; data visualisation; invasive software; BeAVER; automatically creating analysis; cyber intelligence; cyber security; cyber security situation; malware intelligence space navigation; malware intelligence space visualization; malware samples; malware threat radar; Computer crime; Data visualization; Malware; Network security;
fLanguage :
English
Journal_Title :
Network, IEEE
Publisher :
ieee
ISSN :
0890-8044
Type :
jour
DOI :
10.1109/MNET.2012.6375889
Filename :
6375889
Link To Document :
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