FPGA Implementation of a Cryptographically-Secure PUF Based on Learning Parity with Noise

FPGA Implementation of a Cryptographically-Secure PUF Based on Learning Parity with Noise

Herder et al. (IEEE Transactions on Dependable and Secure Computing, 2017) designed a new computational fuzzy extractor and physical unclonable function (PUF) challenge-response protocol based on the Learning Parity with Noise (LPN) problem. The protocol requires no irreversible state updates on the...

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Bibliographic Details
Main Authors: Chenglu Jin, Charles Herder, Ling Ren, Phuong Ha Nguyen, Benjamin Fuller, Srinivas Devadas, Marten van Dijk
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Cryptography
Subjects:
physical unclonable function
learning parity with noise
fuzzy extractor
Online Access:https://www.mdpi.com/2410-387X/1/3/23

Internet

https://www.mdpi.com/2410-387X/1/3/23

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