Microsoft Technology Licensing, LLC

Qingyun Liu

Jack Wilson Stokes, Iii

Weidong Cui

John J Lambert

Andrey Marochko

Tim William Burrell

Ian Hellen

Robert James Mead

Graph-based detection systems and techniques are provided to identify potential malicious lateral movement paths. System and security events may be used to generate a network connection graph and detect remote file executions and/or other detections, for use in tracking malicious lateral movement across a computer network, such as a compromised computer network. Lateral movement determination across a computer network may be divided into two subproblems: forensic analysis and general detection. With forensic analysis, given a malicious node, possible lateral movement leading into or out of the node is identified. General detection identifies previously unknown malicious lateral movement on a network using a remote file execution detector, and/or other detectors, and a rare path anomaly detection algorithm.

Detecting malicious lateral movement across a computer network

Growing community of inventors

Goleta, CA, United States of America

Qingyun Liu