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International Workshop on Cryptographic Hardware and Embedded Systems

CHES 2006: Cryptographic Hardware and Embedded Systems - CHES 2006 pp 60Cite as

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Integer Factoring Utilizing PC Cluster

Integer Factoring Utilizing PC Cluster

  • Kazumaro Aoki18 
  • Conference paper
  • 2716 Accesses

Part of the Lecture Notes in Computer Science book series (LNSC,volume 4249)

Abstract

The integer factoring problem is one of the oldest and important problems and it is considered as hard, i.e., the problem cannot be solved in polynomial time for the worst case, because the security of RSA is heavily dependent on the difficulties of integer factoring. As is well known, hardware technology is progressing rapidly from year to year and it seems that the time is now ripe to factor 1024- bit integers. Recently, there have been many studies that have investigated the possibility of 1024-bit integer factoring.

Keywords

  • Operating System
  • Communication Network
  • Source Code
  • Polynomial Time
  • Promising Candidate

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. NTT, 1-1 Hikari-no-oka, Yokosuka-shi, Kanagawa-ken, 239-0847, Japan

    Kazumaro Aoki

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  1. Kazumaro Aoki
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Editor information

Editors and Affiliations

  1. Versailles Saint-Quentin-en-Yvelines University, 45 Avenue des Etats-Unis, 78035, Versailles Cedex, France

    Louis Goubin

  2. Information Technology R&D Center, Mitsubishi Electric Corporation, 5-1-1 Ofuna Kamakura Kanagawa, Japan

    Mitsuru Matsui

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Aoki, K. (2006). Integer Factoring Utilizing PC Cluster. In: Goubin, L., Matsui, M. (eds) Cryptographic Hardware and Embedded Systems - CHES 2006. CHES 2006. Lecture Notes in Computer Science, vol 4249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11894063_5

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  • DOI: https://doi.org/10.1007/11894063_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46559-1

  • Online ISBN: 978-3-540-46561-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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