• DocumentCode
    3065112
  • Title

    Integer Factorization Using Hadoop

  • Author

    Nguyen, Son T. ; Ghebregiorgish, Semere Tsehaye ; Alabbasi, Nour ; Rong, Chunming

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Stavanger, Stavanger, Norway
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    628
  • Lastpage
    633
  • Abstract
    Integer factorization is an interesting but a hard problem and stays at the core of many security mechanisms. Conventional approaches to factor big integer numbers often require powerful computers and a great effort in software development. In this paper, we present a different approach to this problem by running the quadratic sieve algorithm in the Hadoop framework. This approach offers a much easier way to develop program and to setup the working environment. It can also be scaled easily to work with a large number of computers.
  • Keywords
    cryptography; distributed processing; number theory; Hadoop framework; integer factorization; integer numbers; quadratic sieve algorithm; security mechanisms; software development; Computers; Data processing; Hard disks; Java; Programming; Radio access networks; Security; Hadoop; MapReduce; integer factorization; quadratic sieve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4673-0090-2
  • Type

    conf

  • DOI
    10.1109/CloudCom.2011.97
  • Filename
    6133206