BAE Systems to develop automated cyber defense tools that combine machine learning and cyber attack modeling for DARPA



The U.S. Defense Advanced Research Projects Agency (DARPA) has selected BAE Systems to develop data-driven, cyber-hunting tools that detect and analyze cyber threats to help protect extremely large enterprise networks. The contract for Phase 1, 2, and 3 of the program is valued at approximately US$5.2 million.

BAE Systems’ efforts on the CHASE program builds on previous company work in real-time, cyber-defense based anomaly detection, evidence-driven decision making, and related techniques for DARPA, the U.S. Army, and the U.S. Navy.

The company’s subcontractors and research partners on the program include Digital Operatives, Dr. Ruslan Salakhutdinov from Carnegie Mellon University, and Dr. Farshad Khorrami and team from New York University. BAE Systems’ work for the program will be performed in Arlington, Virginia.

As most current tools do not offer the scale and processing speed needed to adequately defend enterprise networks, the goal of DARPA’s Cyber-Hunting at Scale (CHASE) program is to develop, demonstrate, and evaluate new, automated cyber-defense tools for use within and across these types of networks.

BAE Systems’ solution, which combines advanced machine learning and cyber-attack modeling, intends to address this critical need by automatically detecting and defeating advanced cyber threats that could currently go undetected. The result could be better-defended commercial networks, using existing storage and existing resources. The technology could also be used to help protect government and military networks.

“Today, advanced cyber attacks within many enterprise networks go entirely unnoticed among an overwhelming amount of network data, or they require intensive manual analysis by expert teams,” said Anne Taylor, product line director for the Cyber Technology group at BAE Systems. “Our technology aims to alleviate resource constraints to actively hunt for cyber threats that evade security measures, enhancing the collective cyber defense of these networks.”

Last year, under two contracts from DARPA worth a combined $5.4 million, BAE Systems was to develop technology that will enable compact UAS to conduct multiple mission tasks with single, multifunction payloads that can adapt to changing battlefield situations and mission needs in real time.

DARPA’s program, called CONverged Collaborative Elements for RF Task Operations or CONCERTO, focuses on supporting communications, radar, and EW systems with a flexible RF architecture that uses shared common hardware, enabling multifunction systems that meet the low-SWaP requirements of compact UAS.

The converged systems will be able to switch between intelligence, surveillance, and reconnaissance; command and control; networking; and combat operations support missions without physical payload changes.

BAE Systems is also developing a flexible, virtual RF processing engine that can be reconfigured to support diverse and simultaneous operating modes. As processing technologies become increasingly diverse, our virtualization technology can provide adaptability and scalability to a variety of platforms. This program builds on the company’s expertise in RF microelectronics, cognitive RF processing, and multi-intelligence processing.

 

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