SBIR/STTR Research Award

Cyber Adversary Discovery Engine (CADE)

Award identifier 961fae9395f1273105cd8bedd30c51cd44ae51ac1328b779fd31e8d0f80a2612Awarding agency Department of Defense · Navy

Award amount

$1,999,915

Program and phase

STTR · Phase II

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2020-05-04
Contract end date
2024-04-29
UEI
DD1BYN8SN355
Solicitation number
19.A
Topic code
N19A-T021

Research abstract

Cyber warfare is a rapidly expanding, critical battlefield for the US Navy. Attacks on infrastructure, ship systems, and sailors themselves can significantly reduce operational readiness and deployment time, and can be very costly. To prepare and successfully defend this rapidly evolving battlefield, defensive cyberspace operations (DCOs) must analyze and forensically investigate attacks, but few tools support this analysis. Skilled analysts must manually and forensically analyze attacker behaviors, which requires significant investments in staff, time, and money, and limits the breadth and depth of the possible analyses. These constraints limit situation awareness of critical adversary behaviors, defensive preparedness, and the ability to defend critical assets. To address this need, Charles River Analytics conducted a Phase I effort to design and demonstrate the feasibility of the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals, and tactics, techniques and procedures (TTPs). CADE also automatically recognizes changes in adversary TTPs that occur in forensic data, and provides a collaborative AI-based partner to enable analysts to deeply understand the behaviors, goals and TTPs of attackers. We propose a Phase II effort to develop a full-scope CADE system, which will include: (1) the Cyber Behavioral Modeling System, which models the dynamic and adaptive cyber attacker behaviors; (2) algorithms and methods, based on probabilistic programming, that infer behaviors, goals, and TTPs from data; and (3) the Interactive Cyber Visualization and Exploration system, which visualizes complex cyber data, as well as the inferred behaviors, goals, and TTPs. Under a Phase II effort, we will demonstrate and evaluate this system under realistic conditions to elicit feedback and assess functionality to ensure CADE meets the expectations of end users. Ultimately, CADE’s cutting-edge behavioral analysis will help analysts in Government and commercial markets understand the higher level TTPs and goals of adversaries, and will advance the technology used to perform forensic cyber analysis for cyber-social and cyber-technical attacks. Understanding the behaviors of adversaries will support a wide range of defensive strategies that are key to our national security, and will help create simulation environments to bolster our nation’s defense against subtle and pervasive attacks on social media platforms and computer systems.

Technology keywords

Not reported

Other awards by this recipient

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Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

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