The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 19, 2024

Filed:

Apr. 24, 2023
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

John Watson, Falls Church, VA (US);

Christopher Roosenraad, Vienna, VA (US);

Aaron Eppert, Lawrenceburg, IN (US);

Travis Scheponik, Midlothian, VA (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 43/04 (2022.01); G06N 20/00 (2019.01); H04L 9/08 (2006.01); H04L 9/40 (2022.01); H04L 41/16 (2022.01); H04L 43/022 (2022.01); H04L 45/00 (2022.01); H04L 47/2441 (2022.01);
U.S. Cl.
CPC ...
H04L 43/04 (2013.01); G06N 20/00 (2019.01); H04L 9/0891 (2013.01); H04L 41/16 (2013.01); H04L 43/022 (2013.01); H04L 45/20 (2013.01); H04L 47/2441 (2013.01); H04L 63/1425 (2013.01);
Abstract

The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.


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