Abstract
This paper proposes DotPlot visualizations [1,8] for comparing and clustering malware. We describe how to process and customize the malware memory images to get robust and scalable visualizations. We demonstrate the effectiveness of the visualizations for analysing, comparing and clustering malware.
This work has been supported by grant R-394-000-054-232.
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Wu, Y., Yap, R.H.C. (2013). Experiments with Malware Visualization. In: Flegel, U., Markatos, E., Robertson, W. (eds) Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2012. Lecture Notes in Computer Science, vol 7591. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37300-8_7
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DOI: https://doi.org/10.1007/978-3-642-37300-8_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37299-5
Online ISBN: 978-3-642-37300-8
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