SBIR/STTR Research Award

Quantum Secure Identification

Award identifier 4bb27c25de2f06d4a99c74b9ac0f48f4fe6d2bd93b67c8051d4a9351f41f90e7Awarding agency Department of Defense · Air Force

Award amount

$1,249,320

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ANAMETRIC, INC
Proposal award date
2023-02-10
Contract end date
2024-11-11
UEI
MMPWKDTFUAS1
Solicitation number
X23.4
Topic code
AFX234-DCSO2

Research abstract

The concept of identity is fundamental to cybersecurity. How do you know that a plane is friend or foe? Or that a remote device can be updated with new software, while keeping out updates from adversaries? How do you know a security badge is authentic? These functions and more are often enabled by a semiconductor circuit known as a PUF (Physical Unclonable Function) which is a digital fingerprint for chips.  This project intends to develop a new generation of chip-level secure ID capabilities with a new PUF technology. A PUF is a hardware structure with one or more unique manufacturing characteristics which can act as an immutable cryptographic root-of-trust (also known as a secure ID). Consequently, PUFs are an ideal foundation and are used in many secure applications, including supply-chain assurance/anti-counterfeiting, secure firmware updates, and trusted/secure communications - even ID badges. This project extends our previous work to build a novel hybrid quantum/classical photonics PUF. We will compare our theoretical model that was developed in Phase I against the operation of our first quantum hybrid PUF (QPUF) prototype chip. The company independently fabricated and characterized this first QPUF chip after Phase I ended. We will use the data from this analysis to drive further enhancements to this foundational technology. Recent applications of machine learning (ML) techniques have exposed flaws in current PUF designs, potentially compromising critical government and defense operational security – which can also jeopardize warfighter safety. We will conduct a cryptanalytic investigation of these types of ML-assisted threats against our QPUF to confirm its ability to withstand attacks of this nature.

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

7 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $4,118,615. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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