Invention Grant
- Patent Title: Methods and apparatus for detecting whether a string of characters represents malicious activity using machine learning
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Application No.: US17125280Application Date: 2020-12-17
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Publication No.: US11544380B2Publication Date: 2023-01-03
- Inventor: Joshua Daniel Saxe
- Applicant: Invincea, Inc.
- Applicant Address: US VA Reston
- Assignee: Invincea, Inc.
- Current Assignee: Invincea, Inc.
- Current Assignee Address: US VA Reston
- Agency: Cooley LLP
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06N3/04 ; G06N3/08 ; H04L9/40 ; G06N5/00 ; G06N7/00

Abstract:
In some embodiments, a processor can receive an input string associated with a potentially malicious artifact and convert each character in the input string into a vector of values to define a character matrix. The processor can apply a convolution matrix to a first window of the character matrix to define a first subscore, apply the convolution matrix to a second window of the character matrix to define a second subscore and combine the first subscore and the second subscore to define a score for the convolution matrix. The processor can provide the score for the convolution matrix as an input to a machine learning threat model, identify the potentially malicious artifact as malicious based on an output of the machine learning threat model, and perform a remedial action on the potentially malicious artifact based on identifying the potentially malicious artifact as malicious.
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