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Herausgeber: 
  • Vijay Kumar
  • Chiranji Lal Chowdhary
  • Shakila Basheer
  • Enhancing Steganography Through Deep Learning Approaches 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  November 2024  
    Genre:  EDV / Informatik 
     
    Adversarial Training for Steganography / Benchmarking and Evaluation Metrics for Deep Learning-based Steganography / Combining Traditional Steganography with Deep Learning / Deep Learning for Payload Compre / Kryptografie, Verschlüsselungstechnologie
    ISBN:  9798369349403 
    EAN-Code: 
    9798369349403 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 23 mm 
    Gewicht:  811 gr 
    Seiten:  434 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals.

      



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