File:Malware VisualizationTaxonomy with References.png: Difference between revisions
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 | CC-BY Wagner, Fischer, Luh, Haberson, Rind, Keim, & Aigner | ||
== 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 | |||
Revision as of 13:48, 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:
CC-BY Wagner, Fischer, Luh, Haberson, Rind, Keim, & Aigner
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
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| current | 13:44, 24 March 2017 |  | 2,959 × 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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