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© 2020

Optimization Models in Steganography Using Metaheuristics

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 187)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 1-32
  3. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 33-48
  4. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 49-61
  5. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 91-121
  6. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 123-145
  7. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 147-161
  8. Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham
    Pages 163-166

About this book

Introduction

This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality, high data-hiding capacity, secret text security and computational time – the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book’s comprehensive coverage an invaluable resource.


Keywords

Computational Intelligence Artificial Intelligence Cohort Intelligence Steganography Cognitive Computing Metaheuristics

Authors and affiliations

  1. 1.Symbiosis Institute of TechnologySymbiosis International (Deemed University)PuneIndia
  2. 2.Symbiosis Institute of TechnologySymbiosis International (Deemed University)PuneIndia
  3. 3.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR)AuburnUSA

Bibliographic information