Military Embedded Systems

Machine learning integrated into cyberdefense solutions


April 22, 2020

Emma Helfrich

Technology Editor

Military Embedded Systems

Photo courtesy of the U.S. Department of Defense.

CHANTILLY, Va. Perspecta Inc., announced that its applied research arm, Perspecta Labs, won the Autonomous Defensive Cyber Operations program from the U.S. Army Combat Capabilities Development Command, Command (CCDC), Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance Center (C5ISR), Space and Terrestrial Communications Directorate.

The program, which represents new work for the company, has a five-year period of performance, including options and total potential value of $14.5 million.

The objective of the program, according to the company, is to develop a suite of cyber capabilities for the U.S. Army that are autonomous, secure, easy to deploy and configure, adaptive, and resilient to adversarial deception. On the program, Perspecta Labs will research a machine learning for defensive cyber operations solution for training, rapidly deploying, and retraining containerized cyber sensors that detect both known and unknown vulnerabilities, attacks, and malware.

Perspecta Labs' solution aims to utilize the company's machine learning paradigm called Learning Using Privileged Information (LUPI) to create cyber sensors in a heterogeneous environment. These cyber sensors are designed to be resilient to adversarial machine learning attacks and to be retrained to consider the variations in the tactical environment.


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