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US11042638B2

Detecting malicious software using sensors

Southern Methodist University

Abstract

In some implementations, a method includes retrieving data from multiple sensors in a computing device, and the multiple sensors comprise different types of sensors. The sensor data is analyzed based on a predictive model, and the predictive model is trained to detect malware. Initiation of …

University
Southern Methodist University
Assignee
Southern Methodist University
Inventor
Mitchell Thornton
Priority date
November 14, 2017
Filing date
November 14, 2017
Grant date
June 22, 2021
Publication date
June 22, 2021
Language
en
Metadata fetched
August 28, 2026 19:18