Optimization models in steganography using metaheuristics

Optimization models in steganography using metaheuristics

by Sarmah, Dipti Kapoor

Type Book
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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-b…

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Title Statements

  • Full title :Optimization models in steganography using metaheuristics / Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham.

Summary

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 books comprehensive coverage an invaluable resource.

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Edition Statements

  • Publication Date:2020

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham, Switzerland
  • Language:eng
  • Publication Date:2020

The Physical Object

  • Description:1 online resource (174 pages)

Edition Identifiers

  • ISBN:3030420442, 9783030420444
  • oclc:on1142528763
  • LC Classification:QA268
  • Dewey Decimal:003.54

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