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:
Aug. 01, 2023

Filed:

Feb. 10, 2020
Applicant:

Ironnet Cybersecurity, Inc., Fulton, MD (US);

Inventors:

Jordan S. Webster, Vienna, VA (US);

Christopher S. Stinson, Odenton, MD (US);

Assignee:

IRONNET CYBERSECURITY, INC., McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); H04L 43/16 (2022.01); H04L 43/022 (2022.01); G06F 17/18 (2006.01); G06F 21/56 (2013.01); H04L 69/322 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1416 (2013.01); G06F 17/18 (2013.01); G06F 21/566 (2013.01); G06N 20/00 (2019.01); H04L 43/022 (2013.01); H04L 43/16 (2013.01); H04L 63/1466 (2013.01); H04L 69/322 (2013.01);
Abstract

Systems and methods for detecting suspicious malware by analyzing data such as transfer protocol data or logs from a host within an enterprise is provided. The systems and methods include a database for storing current data and historical data obtained from the network and a detection module and an optional display. The embodiments herein extract information from non-encrypted transfer protocol metadata, determine a plurality of features, utilize an outlier detection model that is based on historical behaviors, calculate a suspiciousness score, and create alerts for analysis by users when the score exceeds a threshold. In doing so, the systems and methods of the present invention improve the ability to identify suspicious outliers or potential malware on an iterative basis over time.


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