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Autor(en): 
  • Al-Sakib Khan Pathan
  • Kutub Thakur
  • The Impact of AI on Cybersecurity Evolution: Exploring Fundamentals and Recent Trends 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (Juli 2027)  
    Genre:  EDV / Informatik 
     
    AI Driven Security Solutions / Artificial General Intelligence / Artificial Intelligence / Artificial Narrow Intelligence / artificial super intelligence / Computersicherheit / cybersecurity ecosystem / Cybersecurity Fundamentals and Emerging Threats
    ISBN:  9783032302342 
    EAN-Code: 
    9783032302342 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  265 
    Illustration:  XXI, 265 p. 40 illus., 30 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:
    This book provides an in-depth exploration of the dynamic intersection between machine learning and cybersecurity, offering a detailed analysis of how these technologies are reshaping the security landscape. It tracks the significant progress of machine learning in the context of cybersecurity, providing insights into the latest advancements, emerging trends, and the challenges ahead.

    Crafted with a discerning audience in mind, this work is a valuable resource for academic researchers, industry practitioners, and students alike. It is particularly suitable for those with an interest in understanding the transformative role machine learning plays in modern cybersecurity.

    In a world where cybersecurity threats are constantly evolving, this book provides a well-structured introduction to the emerging technologies, their applications, and their potential to revolutionize how we protect digital assets. Readers will gain a comprehensive understanding of machine learning techniques and their application to real-world cybersecurity problems, ensuring they are well-equipped to tackle the complex challenges of the field.

    This book is designed to serve as an essential resource for teaching at both undergraduate and graduate levels. It also functions as a comprehensive reference for professionals and researchers in the field.

      



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