Description
The common use of the Internet and cloud services in transmission of large amounts of data over open networks and insecure channels, exposes that private and secret data to serious situations. Ensuring the information transmission over the Internet is safe and secure has become crucial, consequently information security has become one of the most important issues of human communities because of increased data transmission over social networks. Digital Media Steganography: Principles, Algorithms, and Advances covers fundamental theories and algorithms for practical design, while providing a comprehensive overview of the most advanced methodologies and modern techniques in the field of steganography. The topics covered present a collection of high-quality research works written in a simple manner by world-renowned leaders in the field dealing with specific research problems. It presents the state-of-the-art as well as the most recent trends in digital media steganography.- 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
Table of Contents
1. Introduction to digital image steganography2. A color image steganography method based on ADPVD and HOG techniques3. An improved method for high hiding capacity based on LSB and PVD4. An efficient image steganography method using multi-objective differential evolution5. Image steganography using add-sub based QVD and side match6. A high capacity invertible steganography method for Stereo image7. An adaptive and clustering-based steganographic method: Osteg8. A steganography method based on decomposition of the Catalan numbers9. A steganography approach for hiding privacy in video surveillance systems10. Reversible steganography techniques: A survey11. Quantum Steganography12. Digital media steganalysis13. Unsupervised steganographer identification via clustering and outlier detection14. Deep Learning in steganography and steganalysis
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