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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.

Patent No.:

US 11991198 B1

PDFFull Text
Date of Patent:
May. 21, 2024

Filed:

Jul. 06, 2022

User-specific data-driven network security

Applicant:

Lacework, Inc., San Jose, CA (US);

Inventors:

Vikram Kapoor, Cupertino, CA (US);

Harish Kumar Bharat Singh, Pleasanton, CA (US);

Weifei Zeng, Sunnyvale, CA (US);

Vimalkumar Jeyakumar, Los Altos, CA (US);

Theron Tock, Mountain View, CA (US);

Ying Xie, Cupertino, CA (US);

Yijou Chen, Cupertino, CA (US);

Assignee:

LACEWORK, INC., Mountain View, CA (US);

Attorney:
Primary Examiner:

Mahfuzur Rahman

Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 9/455 (2018.01); G06F 9/54 (2006.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06F 21/57 (2013.01); H04L 9/40 (2022.01); H04L 43/045 (2022.01); H04L 43/06 (2022.01); H04L 67/306 (2022.01); H04L 67/50 (2022.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 9/455 (2013.01); G06F 9/545 (2013.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06F 21/57 (2013.01); H04L 43/045 (2013.01); H04L 43/06 (2013.01); H04L 63/10 (2013.01); H04L 67/306 (2013.01); H04L 67/535 (2022.05); G06F 16/2456 (2019.01);
Abstract

Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

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