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MalGrid: Visualization Of Binary Features In Large Malware Corpora. (arXiv:2211.02696v1 [cs.CR])
Nov. 8, 2022, 2:11 a.m. | Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B.S. Manjunath
cs.LG updates on arXiv.org arxiv.org
The number of malware is constantly on the rise. Though most new malware are
modifications of existing ones, their sheer number is quite overwhelming. In
this paper, we present a novel system to visualize and map millions of malware
to points in a 2-dimensional (2D) spatial grid. This enables visualizing
relationships within large malware datasets that can be used to develop triage
solutions to screen different malware rapidly and provide situational
awareness. Our approach links two visualizations within an interactive …
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