SBIR/STTR Research Award

A Real-time Hardware-assisted Endpoint Threat Detection Framework

Award identifier ca2b2ebc169a1f5747753e196249fd940719cf8e521dd24c05dc2bf872d3a532Awarding agency Department of Homeland Security

Award amount

$149,997

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Homeland Security
Branch
Not reported
Recipient company
TRUSTED SCIENCE AND TECHNOLOGY, INC.
Proposal award date
2023-05-09
Contract end date
2023-10-08
UEI
DWYDDUG3N571
Solicitation number
23.1
Topic code
DHS231-001

Research abstract

IoT devices expose greater security risks due to their limited resources, lack of security functions and maintenance. There is a fast-growing trend for cyber-attacks exploiting IoT system vulnerabilities. software based IoT security solutions cannot meet the stringent requirements of real-time detection high accuracy, and low performance overhead. Our goal is to a multi-level hardware-assisted threat detection system. The solution will integrate the real-time hardware-assisted malware detection algorithms with advanced machine learning techniques. offering high accuracy, real-time, and low overhead threat solution. Commercial applications for this solution include IoT system security for smart camera, smart grid, transportation, telemedicine systems, etc.

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

23 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $20,562,970. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Homeland Security

Agency intelligence

Department of Homeland Security

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