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:
Apr. 14, 2026

Filed:

Jun. 20, 2024
Applicant:

Privafy Inc, Burlington, MA (US);

Inventors:

Rangamani Sundar, Burlington, MA (US);

Xuepeng Sun, Burlington, MA (US);

Gurudutt Pai, Burlington, MA (US);

Kumar Vishwanathan, Burlington, MA (US);

Vijay Sankar Veeriah, Bangalore, IN;

Srinivasan Krishnamoorthy, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); H04L 43/045 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); H04L 43/045 (2013.01); H04L 63/1416 (2013.01);
Abstract

A system for detecting anomalous network patterns based on analyzing network traffic data and method thereof are disclosed. The system comprises a flow aggregator subsystem, a flow feature generation subsystem, an anomaly detection subsystem, a dynamic score subsystem, and a calibration subsystem. The system is configured to receive the network traffic data from one or more network endpoints for aggregating the network traffic data into network flow data. The system is configured to generate one or more flow features for each packet associated with the aggregated network traffic data based on a rolling window-based analysis of the one or more attributes. The system is configured to analyze the one or more flow features by utilizing one or more deep-learning models to detect the one or more anomalous network patterns.


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