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Using neural network in cryptography.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F00%3A00000029" target="_blank" >RIV/61988987:17310/00:00000029 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using neural network in cryptography.

  • Original language description

    The goal of cryptography is to make it impossible to take a cipher and reproduce the original plain text without the corresponding key. With good cryptography, your messages are encrypted in such a way that brute force attacks against the algorithm or the key are all but impossible. Good cryptography gets its security by using incredibly long keys and by using encryption algorithms that are resistant to other form of attack. The neural net application represents a way of the next development in good cryptography encryption algorithms that are resistant to other form of attack. The neural net application represents a way of the next development in good cryptography

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Sift Computing

  • ISBN

    3-7908-1322-2

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    Physica-Verlag, A Springer -Verlag Company

  • Place of publication

    Košice, Slovakia

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article