Name: Information Hiding and Machine Learning (en Inglés)
Price: 66.30 USD
Availability: InStock
Author: Yadav, Ashok Kumar ; Kumar, Raj
ISBN: 9783346795632

portada Information Hiding and Machine Learning (en Inglés)

Information Hiding and Machine Learning (en Inglés)

Formato

Libro Físico

Autor

Raj Kumar

Ashok Kumar Yadav

Editorial

Grin Verlag

Idioma

Inglés

N° páginas

154

Encuadernación

Tapa Blanda

Dimensiones

21.0 x 14.8 x 0.9 cm

Peso

0.21 kg.

ISBN13

9783346795632

Categorías

Tecnología de la información: cuestiones generales

Information Hiding and Machine Learning (en Inglés)

Raj Kumar (Autor) · Ashok Kumar Yadav (Autor) · Grin Verlag · Tapa Blanda

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Reseña del libro "Information Hiding and Machine Learning (en Inglés)"

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.