Mark Schaaf

Mark Schaaf

Charlotte Metro
606 followers 500+ connections

Activity

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Experience

  • Bank of America Graphic

    Bank of America

    Charlotte Metro

  • -

    Charlotte, North Carolina

  • -

    Charlotte, North Carolina

  • -

    Charlotte, North Carolina

  • -

    Charlotte, North Carolina

  • -

    Columbia, South Carolina

Education

  • University of South Carolina

    -

    Activities and Societies: Association of Computing Machinery (ACM)

Licenses & Certifications

Patents

  • Detecting Malicious Email Campaigns with Unique but Similarly-Spelled Attachments

    Issued US 12177246 B2

    Email logs from network appliances are retrieved, filtered, normalized, and converted into field-based organized data for comprehensive analysis. Cluster analysis is performed. Filenames of email attachments are transformed into numerical vectors and a cosine similarity termset analysis is performed on the numerical vectors. Data is organized into time bins for burst detection. Statistical analysis is performed on the time bins. Pattern recognition is performed to identify alphanumeric…

    Email logs from network appliances are retrieved, filtered, normalized, and converted into field-based organized data for comprehensive analysis. Cluster analysis is performed. Filenames of email attachments are transformed into numerical vectors and a cosine similarity termset analysis is performed on the numerical vectors. Data is organized into time bins for burst detection. Statistical analysis is performed on the time bins. Pattern recognition is performed to identify alphanumeric similarities in the filenames of the attached files in order to detect malicious email campaigns. Machine learning may be used to optimize the cosine similarity threshold and other query variables, and to update existing cybersecurity filters and firewalls. Mitigation can be performed to remove malicious emails that were delivered to recipient mailboxes.

    See patent

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