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Accurate Detection of Binary Code Similarity for Computer Vulnerability Analysis
Researchers at GW have developed a system that can accurately detect binary code similarity in the context of computer vulnerability analysis. The system utilizes a graph neural network model to generate representative embeddings for provenance identification amongst various binary codes extant in the art, to improve the accuracy associated with the...
Published: 2/18/2025
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Inventor(s): Yuede Ji, Hao (Howie) Huang
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Cybersecurity
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