論文

査読有り
2017年

An ECC Implementation with a Twisted Montgomery Curve over Fq32 on an 8-Bit Microcontroller.

Proceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
  • Yuta Hashimoto
  • ,
  • Md. Al-Amin Khandaker
  • ,
  • Yuta Kodera
  • ,
  • Taehwan Park
  • ,
  • Takuya Kusaka
  • ,
  • Howon Kim
  • ,
  • Yasuyuki Nogami

2018-January
開始ページ
445
終了ページ
450
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/CANDAR.2017.90
出版者・発行元
IEEE

The security of Internet of Things (IoT) devices is one of the most important problems. The processing ability of IoT devices is limited, therefore a more light-weight and secure cryptography is necessary. This paper shows the implementation of 256-bit Elliptic Curve Cryptography (ECC) on an 8-bit microcontroller by applying towering for extension field of degree 32. The authors use a twisted Montgomery curve with a Montgomery ladder which enables fast calculations without inverse elements. In addition to that, this implementation is considered resistant to the Side Channel Attack (SCA) since it applies the Montgomery ladder for the scalar multiplication (SCM). This ECC implementation on Arduino UNO, an 8-bit microcontroller board, takes 3 seconds for an SCM which can be made faster by careful assembly implementation.

リンク情報
DOI
https://doi.org/10.1109/CANDAR.2017.90
DBLP
https://dblp.uni-trier.de/rec/conf/ic-nc/HashimotoKKPKKN17
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000432657800068&DestApp=WOS_CPL
URL
http://doi.ieeecomputersociety.org/10.1109/CANDAR.2017.90
Dblp Cross Ref
https://dblp.uni-trier.de/conf/ic-nc/2017
Dblp Url
https://dblp.uni-trier.de/db/conf/ic-nc/candar2017.html#HashimotoKKPKKN17
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050367572&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85050367572&origin=inward
ID情報
  • DOI : 10.1109/CANDAR.2017.90
  • ISSN : 2379-1888
  • ISBN : 9781538620878
  • DBLP ID : conf/ic-nc/HashimotoKKPKKN17
  • SCOPUS ID : 85050367572
  • Web of Science ID : WOS:000432657800068

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