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Autor(en): 
  • Raj Kumar
  • Ashok Kumar Yadav
  • Information Hiding and Machine Learning 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  2023  
    Genre:  EDV / Informatik 
     
    Hiding / Information / Learning / Machine
    ISBN:  9783346795632 
    EAN-Code: 
    9783346795632 
    Verlag:  Grin Verlag 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 210 mm / B 148 mm / D 11 mm 
    Gewicht:  230 gr 
    Seiten:  152 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Document from the year 2023 in the subject Computer Sciences - Artificial Intelligence, Amity University (Amity School of Engineering and Technology), course: Information Security, Machine Learning, language: English, abstract: Information security is a challenging issue with the high growth rate of the internet. Cryptography, Steganography, and Digital watermarking techniques are widely used for information security for different purposes. In this book, we discuss various methods of hiding information using machine learning techniques. Chapter one is the foundation of the research conducted during the period and dis-cussed in this book. It also overview the problem statement, methodology, objectives, achievements and motivation of the proposed study. It also provides an overview of the organization of this book. In chapter two, the main focus is to review the existing digital image watermarking techniques based on artificial neural network, support vector regression, support vector machines, genetic algorithm and combination of these machine learning algorithms called hybrid techniques based image watermarking. The reviews of these watermarking schemes give the effective solution for copyright protection applications. It is observed that machine learning algorithms are used to reduce the trade-off between robustness and imperceptibility in spatial as well as transform domain. In addition to robustness and imperceptibility, some of the researchers have focused on security of the watermark and how much information is stored in multimedia contents.

      



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