My Account Log in

1 option

Multidisciplinary approach to modern digital steganography / Sabyasachi Pramanik, Mangesh Ghonge, Renjith Ravi, and Korhan Cengiz, editors.

EBSCOhost Academic eBook Collection (North America) Available online

View online
Format:
Book
Author/Creator:
Pramanik, Sabyasachi, 1978- author.
Contributor:
Pramanik, Sabyasachi, 1978- editor.
Ghonge, Mangesh, 1984- editor.
Ravi, Renjith, 1985- editor.
Cengiz, Korhan, editor.
Language:
English
Subjects (All):
Data encryption (Computer science).
Computer security.
Physical Description:
24 PDFs (380 pages)
Place of Publication:
Hershey, Pennsylvania : IGI Global, [2021]
System Details:
Mode of access: World Wide Web.
Summary:
"This book gives an insight to the different latest techniques and state-of-the-art methods, algorithms, architectures, models, methodologies, and case studies of steganography in the domain of Cloud, IoT and Android Platform"-- Provided by publisher.
Contents:
Chapter 1. Unseen to seen by digital steganography: modern-day data-hiding techniques
Chapter 2. Image steganography: recent trends and techniques
Chapter 3. Advances in text steganography theory and research: a critical review and gaps
Chapter 4. Machine learning and deep learning in steganography and steganalysis
Chapter 5. Multimode approach of data encryption in images through quantum steganography
Chapter 6. Detection of malicious spatial-domain steganography over noisy channels
Chapter 7. Secure text extraction from complex degraded images by applying steganography and deep learning
Chapter 8. Modern approaches to creating highly undetectable stegosystems (HUGO systems)
Chapter 9. IoT security using steganography
Chapter 10. An integration of keyless encryption, steganography, and artificial intelligence for the secure transmission of stego images
Chapter 11. Multimedia data protection using hybridized Crystal payload algorithm with chicken swarm optimization
Chapter 12. Secure framework data security using cryptography and steganography in Internet of things
Chapter 13. Application of steganography for secure data transmission using lossless compression
Chapter 14. Applications of machine learning in steganography for data protection and privacy
Chapter 15. Design and development of hybrid algorithms to improve cyber security and provide securing data using image steganography with Internet of things.
Notes:
Description based on print version record.
Includes bibliographical references and index.
ISBN:
1-7998-7162-2
OCLC:
1255228671

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account