Presentation 2021-03-02
Security Evaluation of PUF utilizing Unrolled Architecture
Yusuke Nozaki, Kensaku Asahi, Masaya Yoshikawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To improve the security of LSI circuit, physically unclonable functions (PUF) have been attracted attention. The glitch PUF has been proposed as one of the most popular PUFs. In recent years, a lightweight cipher PRINCE based glitch PUF (PG PUF) has also been proposed. However, mathematical unclonable, which is an important metric, has not been evaluated in PG PUF. Therefore, this study proposes a new modeling attack for PG PUF in order to evaluate the security of PG PUF. The proposed method predicts the response of PG PUF by utilizing deep neural network (DNN). Experiments using field programmable gate array (FPGA) implemented 3 types of PG PUF, and it evaluated the resistance against modeling attack. Experimental results showed that the specific bits of PG PUF with simple structure were vulnerable against modeling attack.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) PUF / Glitch PUF / PRINCE / Deep Neural Network / Modeling Attack / Hardware Security
Paper # ICSS2020-53
Date of Issue 2021-02-22 (ICSS)

Conference Information
Committee ICSS / IPSJ-SPT
Conference Date 2021/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Security, Trust, etc.
Chair Hiroki Takakura(NII)
Vice Chair Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT)
Secretary Katsunari Yoshioka(NICT) / Kazunori Kamiya(KDDI labs.)
Assistant Keisuke Kito(Mitsubishi Electric) / Toshihiro Yamauchi(Okayama Univ.)

Paper Information
Registration To Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Security Evaluation of PUF utilizing Unrolled Architecture
Sub Title (in English)
Keyword(1) PUF
Keyword(2) Glitch PUF
Keyword(3) PRINCE
Keyword(4) Deep Neural Network
Keyword(5) Modeling Attack
Keyword(6) Hardware Security
1st Author's Name Yusuke Nozaki
1st Author's Affiliation Meijo University(Meijo Univ.)
2nd Author's Name Kensaku Asahi
2nd Author's Affiliation Meijo University(Meijo Univ.)
3rd Author's Name Masaya Yoshikawa
3rd Author's Affiliation Meijo University(Meijo Univ.)
Date 2021-03-02
Paper # ICSS2020-53
Volume (vol) vol.120
Number (no) ICSS-384
Page pp.pp.160-165(ICSS),
#Pages 6
Date of Issue 2021-02-22 (ICSS)