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Method and System for Detecting Lateral Movement in Enterprise Computer Networks
Researchers at GW have developed a novel solution that can detect lateral movement in enterprise level computer networks. The novel solution can be fully unsupervised, does not require any labeled training data, thus making it highly generalizable to different environments. This solution is particularly useful in detecting advanced adversaries, also...
Published: 2/18/2025   |   Inventor(s): Benjamin Bowman, Craig Laprade, Hao (Howie) Huang
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Cybersecurity
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   |   Inventor(s): Yuede Ji, Hao (Howie) Huang
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Cybersecurity