Multidisciplinary approach to modern digital steganography
"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"--
| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
Information Science Reference, an imprint of IGI Global,
[2021]
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| Series: | Advances in information security, privacy, and ethics (AISPE) book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of 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.