File:Malware VisualizationTaxonomy with References.png: Difference between revisions

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== Copyright status: ==
== Copyright status: ==
CC-BY Wagner, Fischer, Luh, Haberson, Rind, Keim, & Aigner
This file is licensed under the [http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International] license.


== Source: ==
== Source: ==
Redrawn 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
Own work by Markus Wagner 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

Revision as of 14:00, 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:

Own work by Markus Wagner 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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current13:44, 24 March 2017Thumbnail for version as of 13:44, 24 March 20172,959 × 1,098 (165 KB)Arind (talk | contribs)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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