MALICIOUS PATTERN MATCHING USING GRAPH NEURAL NETWORKS

    公开(公告)号:US20240354406A1

    公开(公告)日:2024-10-24

    申请号:US18305940

    申请日:2023-04-24

    CPC classification number: G06F21/554 G06N3/08 G06F2221/034

    Abstract: A method of detecting likely malicious activity in a sequence of computer instructions includes identifying a set of behaviors of the computer instructions and representing the identified behaviors as a graph. The graph is provided to a graph neural network that is trained to generate a geometric representation of the sequence of computer instructions, and a degree of relatedness between the geometric representation of the computer instructions and a set of base graphs including base graphs known to be malicious is determined. The sequence of computer instructions is determined to likely be malicious or clean based on a degree of relatedness between the geometric representation of the computer instructions and one or more base graphs known to be malicious.

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