STATISTICAL MODELING OF EMAIL SENDERS TO DETECT BUSINESS EMAIL COMPROMISE

    公开(公告)号:US20240356969A1

    公开(公告)日:2024-10-24

    申请号:US18220065

    申请日:2023-07-10

    CPC classification number: H04L63/1483 G06Q10/107

    Abstract: Techniques for an email-security system to screen emails, extract information from the emails, analyze the extracted information, assign probability scores to the emails, and classify the email as suspicious or not. A method is disclosed that includes analyzing an email and extracting a first sender attribute and a second sender attribute from the email. Identifying one or more sender-specific models associated with a sending device, and applying one or more sender-specific models to determine a first probability value associated with the first sender attribute that conveys a likelihood that the first sender attribute is a misused sender attribute. Applying one or more sender-specific models to determine a second probability value associated with the second sender attribute is a second misused sender attribute, and determining, by using the first probability value and the second probability value, an overall probability value associated with a likelihood that the email is suspicious or not.

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