IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-031-30191-9_5.html
   My bibliography  Save this book chapter

Identification of Future Cyberdefense Technology by Text Mining

In: Cyberdefense

Author

Listed:
  • Dimitri Percia David

    (University of Applied Sciences Valais)

  • William Blonay

    (armasuisse Science and Technology)

  • Sébastien Gillard

    (Military Academy at ETH Zurich)

  • Thomas Maillart

    (Université de Genève)

  • Alain Mermoud

    (armasuisse Science and Technology)

  • Loïc Maréchal

    (HEC lausanne, University of Lausanne)

  • Michael Tsesmelis

    (armasuisse Science and Technology)

Abstract

We propose a reproducible, automated, scalable, and free method for automated bibliometric analysis that requires little computing power. We explain how firms can use this method with open source data from public repositories to generate unbiased insights about future technology developments, and to assess the maturity, security and likely future development of particular technology domains. The method is demonstrated by systematic text mining of more than 400,000 e-prints from the arXiv repository.

Suggested Citation

  • Dimitri Percia David & William Blonay & Sébastien Gillard & Thomas Maillart & Alain Mermoud & Loïc Maréchal & Michael Tsesmelis, 2023. "Identification of Future Cyberdefense Technology by Text Mining," International Series in Operations Research & Management Science, in: Marcus Matthias Keupp (ed.), Cyberdefense, chapter 0, pages 69-86, Springer.
  • Handle: RePEc:spr:isochp:978-3-031-30191-9_5
    DOI: 10.1007/978-3-031-30191-9_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-3-031-30191-9_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.