Lethal Genes Aware Genetic Programming Analysis for RO PUF
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gp-bibliography.bib Revision:1.7975
- @InProceedings{Umeda:2018:GCCE,
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author = "Taichi Umeda and Kazuya Shibagaki and
Yusuke Nozaki and Masaya Yoshikawa",
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booktitle = "2018 IEEE 7th Global Conference on Consumer
Electronics (GCCE)",
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title = "Lethal Genes Aware Genetic Programming Analysis for RO
PUF",
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year = "2018",
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pages = "758--759",
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abstract = "Security of edge computing devices has become the most
important issue in internet of things IoT era.
Regarding the security, physical unclonable function
(PUF) as forgery prevention technology has attracted
attention. PUF uses the random physical feature of
semiconductor as unique ID. From a viewpoint of
feasibility of PUF, evaluation of tamper resistance is
important. The evaluation accuracy depends on modelling
accuracy of PUF. The modeling requires information of
the detailed architecture of PUF. On the other hand,
genetic programming (GP) based analysis which can
analysis without PUF models has been proposed recently.
However, the GP based analysis generates many lethal
genes, which reduce evaluation accuracy, during
analysis. This study proposes a new GP based analysis,
which not only generates no lethal gene, but also
requires no PUF models.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/GCCE.2018.8574699",
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ISSN = "2378-8143",
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month = oct,
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notes = "Also known as \cite{8574699}",
- }
Genetic Programming entries for
Taichi Umeda
Kazuya Shibagaki
Yusuke Nozaki
Masaya Yoshikawa
Citations