Patent · US Active

Utilizing machine learning to detect malicious executable files efficiently and effectively

US12111928B2 · kind B2 · utility

0Cited by

7References

17Claims

0Family size

Assignee

Zscaler, Inc. · US

Inventors

Changsha Ma · Campbell, US
Nirmal Singh · Temple, US
Naveen Selvan · Mohali, IN
Tarun Dewan · Mohali, IN
Uday Pratap Singh · Mohali, IN
Deepen Desai · San Ramon, US
Bharath Meesala · Bengaluru, IN
Rakshitha Hedge · Bengaluru, IN
Parnit Sainion · معلمی نژاد, US
Shashank Gupta · Sammamish, US
Narinder Paul · Sunnyvale, US
Rex Shang · Los Altos, US
Howie Xu · Palo Alto, US

Key dates

Filing date	Sep 26, 2023
Grant date	Oct 8, 2024
Priority date	—
Expiry date	Sep 26, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06F2221/033
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods include performing inline monitoring of production traffic between users, the Internet, and cloud services via a cloud-based system; utilizing a trained machine learning model to inspect static properties of files in the production traffic; and classifying the traffic as one of malicious or benign based on the trained machine learning model.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.