Ironwood Cyber Inc.

Southern Methodist University

Michael Taylor

Mitchell A Thornton

Kaitlin Smith

Eric C Larson

Theodore Manikas

Nathan Srirama

Aviraj Sinha

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 malware is determined based on the analysis. In response to the determination, the malware is terminated.

Detecting malicious software using sensors

Described herein are methods, systems, and platforms comprising neural networks for control system anomaly detection.

Control system anomaly detection using neural network consensus

Growing community of inventors

Dallas, TX, United States of America

Michael Taylor