IARPA Selects BAE Systems to Advance Machine Learning to Assure Data Security
03 February 2022 - 2:00AM
Business Wire
BAE Systems has been awarded a $14 million contract from the
Intelligence Advanced Research Projects Activity (IARPA) to develop
tools to decipher an ever-growing number of radio frequency (RF)
signals in order to quickly and accurately help secure
mission-critical information.
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BAE Systems to advance machine learning
to assure data security as part of IARPA’s Securing Compartmented
Information with Smart Radio Systems (SCISRS) program. (Photo: BAE
Systems)
BAE Systems will advance machine learning and artificial
intelligence technology and techniques to identify signals in the
RF spectrum under the terms of the contract, which is part of the
Securing Compartmented Information with Smart Radio Systems
(SCISRS) program. The technology will provide enhanced situational
awareness, help to target threats, and secure communications
against malicious attacks.
“In uncontrolled environments, secure communications can be
jeopardized by RF signals that are almost impossible to manually
find and identify in real time,” said Scott Kuzdeba, chief
scientist for BAE Systems’ FAST Labs™ research and development
organization. “Our technology will identify RF signals in
increasingly crowded electromagnetic spectrum environments,
providing commercial or military users with greater automated
situational awareness of their operating environment.”
Intelligence Community and Department of Defense missions
require that information and data be securely generated, stored,
used, transmitted, and received. This needs to be the case even
when originating in unsecured and uncontrolled environments. The
goal of the SCISRS program is to develop smart radio techniques to
automatically understand these environments in order to enable
securing our data, including detecting and characterizing complex
RF anomalies and unexpected signals. The specific types of
anomalies include hidden, altered, or mimicked signals, and
abnormal unintended emissions.
The program, which includes collaboration with subcontractors
PFP Cybersecurity, Intelligent Automation (a BlueHalo Company),
Signal Processing Technologies, and Virginia Polytechnic Institute
and State University, will leverage BAE Systems’ autonomy portfolio
and build on the company’s work on DARPA’s Radio Frequency Machine
Learning System (RFMLS) program.
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Paul Roberts, BAE Systems Mobile: 603-521-2381
paul.a.roberts@baesystems.com
www.baesystems.com/US @BAESystemsInc
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