Physically Unclonable Functions Using Neuromorphic Networks

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United States of America Patent

APP PUB NO 20160125288A1
SERIAL NO

14931592

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The disclosure describes the use of a neural network circuit, such as an oscillatory neural network or cellular neural network, to serve as a physically unclonable function on an integrated circuit or within an electronic system. The manufacturing process variations that impact the initial state of the neural network parameters are used to provide the unique identification for the physically unclonable function. A challenge signal to the neural network results in a response that is unique to the circuits process variations. The neural network is designed such that there are random variations among manufactured circuits, but that the specific instance variations are sufficiently deterministic with respect to circuit aging and environmental conditions such as temperature and supply voltage.

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Patent Owner(s)

Patent OwnerAddress
CARNEGIE MELLON UNIVERSITY A PENNSYLVANIA NON-PROFIT CORPORATION4615 FORBES AVENUE SUITE 302 PITTSBURGH PA 15213

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Jackson, Thomas Christopher Pittsburgh, US 1 6
Pileggi, Lawrence Thomas Pittsburgh, US 1 6
Sharma, Abhishek Anil Pittsburgh, US 94 87
Weldon, Jeffrey Arthur Pittsburgh, US 1 6

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