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Categorization of malware visualization systems into three categories, namely (1) Individual Malware Analysis, (2) Malware Comparison, and (3) Malware Summarization. All systems have the ultimate goal to generate rules and signatures for fully-automate...
 
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== Summary ==
== Summary ==
Categorization of malware visualization systems into three categories, namely
Categorization of malware visualization systems into three categories, namely (1) Individual Malware Analysis, (2) Malware Comparison, and (3) Malware Summarization. All systems have the ultimate goal to generate rules and signatures for fully-automated malware detection systems. While the first category tackles the problem of understanding the behavior of an individual malware sample for forensics, the latter two focus on the identification of common behavior for malware classification.
(1) Individual Malware Analysis, (2) Malware Comparison, and (3) Malware Summarization. All systems have the ultimate goal to generate rules and signatures for fully-automated malware detection systems. While the first category tackles the problem of understanding the behavior of an individual malware sample for forensics, the latter two focus on the identification of common behavior for malware classification.
 
== Copyright status: ==
== Copyright status: ==
CC-BY
This file is licensed under the [http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International] license.
 
== Source: ==
== Source: ==
Redrawn by the authors based on Wagner, M.; Fischer, F.; Luh, R.; Haberson, A.; Rind, A.; Keim, D. A. & Aigner, W.: [[A Survey of Visualization Systems for Malware Analysis]], Borgo, R.; Ganovelli, F. & Viola, I. (eds.), Proceedings of Eurographics Conference on Visualization (EuroVis) State of The Art Reports, p. 105-125, Cagliari, Italy, Eurographics, 2015. doi:10.2312/eurovisstar.20151114

Latest revision as of 14:02, 24 March 2017

Summary

Categorization of malware visualization systems into three categories, namely (1) Individual Malware Analysis, (2) Malware Comparison, and (3) Malware Summarization. All systems have the ultimate goal to generate rules and signatures for fully-automated malware detection systems. While the first category tackles the problem of understanding the behavior of an individual malware sample for forensics, the latter two focus on the identification of common behavior for malware classification.

Copyright status:

This file is licensed under the Creative Commons Attribution 4.0 International license.

Source:

Redrawn by the authors based on Wagner, M.; Fischer, F.; Luh, R.; Haberson, A.; Rind, A.; Keim, D. A. & Aigner, W.: A Survey of Visualization Systems for Malware Analysis, Borgo, R.; Ganovelli, F. & Viola, I. (eds.), Proceedings of Eurographics Conference on Visualization (EuroVis) State of The Art Reports, p. 105-125, Cagliari, Italy, Eurographics, 2015. doi:10.2312/eurovisstar.20151114

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