Abstract: Current malware detection systems prioritize classification accuracy while neglecting behavioral analysis, limiting their utility for security analysts. This paper presents LiteXGNN, a ...
Malware Detection by Control-Flow Graph Level Representation Learning With Graph Isomorphism Network
Abstract: With society’s increasing reliance on computer systems and network technology, the threat of malicious software grows more and more serious. In the field of information security, malware ...
See live control-flow-graphs of your code! This extension adds a CFG (Control-Flow-Graph) view for the current function in Visual Studio 2022. Before installing, you can also try an interactive demo.
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