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Advanced Artificial Intelligence Techniques in Cyber Threat Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43926317" target="_blank" >RIV/62156489:43110/24:43926317 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advanced Artificial Intelligence Techniques in Cyber Threat Detection

  • Original language description

    This study material offers an in-depth exploration of the integration of AI technologies to enhance cybersecurity measures. It delves into various advanced methods and practical implementations aimed at detecting and mitigating cyber threats. The focus spans across key areas such as spam detection, phishing protection, malicious code detection, and access attack detection using AI. Through detailed explanations and project-based approaches, readers are guided on how to leverage AI models, machine learning algorithms, and statistical techniques to improve the efficacy of cybersecurity protocols. Each chapter addresses both the theoretical and practical aspects of cyber threat detection, providing readers with comprehensive insights into the application of AI for enhancing digital security.

  • Czech name

  • Czech description

Classification

  • Type

    B - Specialist book

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • ISBN

    978-80-558-2234-1

  • Number of pages

    260

  • Publisher name

    Univerzita Konštantína Filozofa v Nitre

  • Place of publication

    Nitra

  • UT code for WoS book