Error Correction Method for Lightweight Cipher PRINCE based Physically Unclonable Function

Lightweight cipher has been attracting attention as a cryptographic technique for internet of things (IoT) devices because it is available with small circuit size, low power consumption, and low latency. Moreover, physically unclonable function (PUF) technology using lightweight cipher, PRINCE cipher based glitch PUF (PG PUF), has been reported as an authentication technique for these devices. On the other hand, it is reported that the output of PUFs fluctuates slightly due to environmental variations, and error correction techniques are required to correct these fluctuations. Therefore, this study proposes an error correction method for PG PUFs. Evaluation experiments using field programmable gate array (FPGA) are conducted to quantitatively demonstrate the effectiveness of the proposed method.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3704391.3704397
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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article

Error Correction Method for Lightweight Cipher PRINCE based Physically Unclonable Function

Masaya Yoshikawa, Shu Takemoto, Yusuke Nozaki
Physical Unclonable Functions (PUFs) and Hardware Security
article

Error Correction Method for Lightweight Cipher PRINCE based Physically Unclonable Function

Masaya Yoshikawa, Shu Takemoto, Yusuke Nozaki
article en

Abstract

Lightweight cipher has been attracting attention as a cryptographic technique for internet of things (IoT) devices because it is available with small circuit size, low power consumption, and low latency. Moreover, physically unclonable function (PUF) technology using lightweight cipher, PRINCE cipher based glitch PUF (PG PUF), has been reported as an authentication technique for these devices. On the other hand, it is reported that the output of PUFs fluctuates slightly due to environmental variations, and error correction techniques are required to correct these fluctuations. Therefore, this study proposes an error correction method for PG PUFs. Evaluation experiments using field programmable gate array (FPGA) are conducted to quantitatively demonstrate the effectiveness of the proposed method.

Meijo University (JP)
Openalex Percentile: Top 72%
Physical Unclonable Functions (PUFs) and Hardware Security
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