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Provably Unclonable Functions on Re-configurable Devices

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-19-C-0014
Agency Tracking Number: A18B-001-0234
Amount: $149,942.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A18B-T001
Solicitation Number: 2018.0
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-11-15
Award End Date (Contract End Date): 2019-02-15
Small Business Information
2597 Nicky Lane
Alexandria, VA 22311
United States
DUNS: 079291120
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrew Pomerance
 (202) 246-7273
 andrew.pomerance@gmail.com
Business Contact
 Andrew Pomerance
Phone: (202) 246-7273
Email: andrew.pomerance@gmail.com
Research Institution
 Ohio State University
 Andrew Pomerance
 
1960 Kenny Road
Columbus, OH 43210
United States

 (202) 246-7273
 Domestic nonprofit research organization
Abstract

Physically UnclonableFunctions (PUFs) have been proposed as central building blocks in cryptographic protocols and security architectures. PUFs are physical devices that exhibit a challenge/responsebehavior: when presented with a challenge, the device produces a response that is a random function of both the challenge and the physical properties of the device.In contrast to most digital designs, it isdesired that a PUF device be highly sensitive to small variations so that even the manufacturer cannotproduce two PUFs that give identical challenge/response behavior. This unclonability or uniquenessproperty enables PUFs to be used for applications such as device identification and authentication, binding software to hardware platforms and secure storage of cryptographic secrets. Despite their promise,existing PUF-based security solutions typically rely on assumptions that have not been confirmed for all PUF types.For instance, many PUF scan be simulated with software, which contradicts theunpredictability and unclonability properties. This project proposes to evaluate three novel designs of PUFs that may defeat current modeling attacks.

* Information listed above is at the time of submission. *

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