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"Covers fundamental theories and algorithms for practical design which form the basis of modern digital media steganography Provides new theoretical breakthroughs and a number of modern techniques in steganography Presents the latest advances in digital media steganography such as using deep learning and artificial neural network as well as Quantum Steganography"--
List of contents
1. Introduction to digital image steganography
2. A color image steganography method based on ADPVD and HOG techniques
3. An improved method for high hiding capacity based on LSB and PVD
4. An efficient image steganography method using multi-objective differential evolution
5. Image steganography using add-sub based QVD and side match
6. A high capacity invertible steganography method for Stereo image
7. An adaptive and clustering-based steganographic method: Osteg
8. A steganography method based on decomposition of the Catalan numbers
9. A steganography approach for hiding privacy in video surveillance systems
10. Reversible steganography techniques: A survey
11. Quantum Steganography
12. Digital media steganalysis
13. Unsupervised steganographer identification via clustering and outlier detection
14. Deep Learning in steganography and steganalysis
About the author
M. Hassaballa received his B.Sc. degree in mathematics in 1997 and his M.Sc. degree in computer science in 2003, both from South Valley University, Egypt, and his Doctor of Engineering (D. Eng.) in computer science from Ehime University, Japan in 2011. He is currently an associate professor of computer science at the Faculty of Computers and Information, South Valley University, Egypt. He served as a reviewer for several Journals. He has published 5 books and over 50 research papers in refereed international journals and conferences. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding..
