Invention Grant
- Patent Title: Detecting data exfiltration using machine learning on personal e-mail account display names
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Application No.: US16724199Application Date: 2019-12-21
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Publication No.: US11330437B2Publication Date: 2022-05-10
- Inventor: Carl Mark Windsor
- Applicant: Fortinet, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Fortinet, Inc.
- Current Assignee: Fortinet, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Law Office of Dorian Cartwright
- Agent Dorian Cartwright
- Main IPC: H04W12/08
- IPC: H04W12/08 ; G06Q10/10 ; H04W12/30
Abstract:
An e-mail application is identified by parsing a network packet from the network packets. Responsive to the e-mail application identification, a display name associated with the user is extracted and the display name is stored among a plurality of display names in association with the company e-mail address of the user. Responsive to one of the plurality of display names matching a display name of a private e-mail address of the user as a destination of e-mail along with surpassing a threshold amount of data transfer, the user is flagged for possible data exfiltration.
Public/Granted literature
- US20210195422A1 DETECTING DATA EXFILTRATION USING MACHINE LEARNING ON PERSONAL E-MAIL ACCOUNT DISPLAY NAMES Public/Granted day:2021-06-24
Information query
