SBIR/STTR Research Award

Controller Area Network Defense in Depth (CANDID)

Award identifier 42a245caa5a497e4f25c3ad42fd82092e5e4e23ef0919d57431e06c8250ec5ffAwarding agency Department of Defense · Army

Award amount

$549,984

Program and phase

SBIR · Phase II

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2020-02-10
Contract end date
2021-10-11
UEI
DD1BYN8SN355
Solicitation number
18.2
Topic code
A18-126

Research abstract

Cyber attacks continue to be a growing concern for the US Army—tanks and other vehicles rely heavily on commercial computer and electronic systems, many of which were not designed with cyber security in mind. One vulnerable protocol is the Controller Area Network (CAN), ubiquitous in military and commercial vehicles. CAN has little built-in security (it has neither confidentiality nor authentication), yet it controls or has access to key vehicle systems connected to the CAN. Electronic control units (ECUs) control nearly all the essential functions on a vehicle, making cyber attacks on CAN and ECUs extremely dangerous; impacts range from loss of confidential information to total loss of vehicle control. Unfortunately, heavily modifying the CAN protocol to add security is incompatible with existing commercial systems. To resolve this problem, our Controller Area Network Defense in Depth (CANDID) system will provide custom hardware between ECUs and the CAN bus. CANDID will prevent, detect, and mitigate damage from cyber attacks while providing greater situational awareness to the vehicle operator using state-of-the-art anomaly detection techniques. CANDID will stop these attacks by filtering or modifying CAN messages before they reach the ECUs.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

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

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.