SBIR/STTR Research Award

Modular and Provably Secure Distributed Energy Resource (DER) Monitoring Framework

Award identifier f9fe75c815f266baff1e9993adb93b66b1fbe78f8092acb252c5458e7073bd88Awarding agency Department of Energy

Award amount

$206,500

Program and phase

SBIR · Phase I

Award year

2023

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 Energy
Branch
Not reported
Recipient company
UBERSPARK INC
Proposal award date
2023-07-10
Contract end date
2024-04-09
UEI
JL5MX8NGEG46
Solicitation number
DE-FOA-0002903
Topic code
C56-01a

Research abstract

The level of distributed energy resources – small-scale energy sources sending power to the bulk power system, such as rooftop solar panels – is dramatically increasing, posing a cybersecurity risk for America’s power grid. Distributed energy resources greatly increase the number of devices that are owned and controlled by consumers and third parties, with a significant dependency on digital communication and control, a point of exposure for cyberattacks. Such attacks can prevent a utility from performing necessary control actions and have catastrophic consequences, harming grid reliability and stability, affecting public safety, and incurring large costs to respond to a cybersecurity incident. In 2022, the leading North American electric power reliability entity reported that distributed energy resources are often internet-connected and have little or no cybersecurity requirements. A Department of Energy report calls for addressing cybersecurity threats as a “designed-in” consideration for distributed energy resources.Current encryption and authentication solutions are insufficient, as a vast majority of distributed energy resources lack sufficient built-in authentication mechanisms. Current firewalls and network monitoring tools are not equipped to handle the custom engineered nature of the operational technology network and run on commodity operating environments, exposing a wide attack surface and single points of failure, susceptible to botnet and other attacks.The proposed provably secure, modular, distributed energy resource monitoring framework will utilize mathematically-backed, secure, network monitoring that is immune to entire classes of adversarial attacks, such as spoofing and flooding, that impact security and reliability. This provably secure, modular, distributed energy resource monitoring approach will effectively eliminate the single point of failure for monitoring and provably guarantees that communication to and from a distributed energy resource is isolated, attributable and always passed through an associated analytic stack on the monitoring domain before being forwarded. This provides the “designed-in” guarantee that a malicious distributed energy resource will be unable to bypass its network traffic analysis/enforcement. This in turn will help accurately visualize and integrate distributed energy resources within a complex operational technology environment and log information about tamper-proof assets.Provably secure, modular, distributed energy resource monitoring and attribution will help ensure safe, large-scale integration of distributed energy resources into the power grid through providing ironclad, mathematically-backed cybersecurity, without degrading grid reliability, stability or performance.

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

6 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $3,948,823. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense, Department of Energy

Agency intelligence

Department of Energy

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.