A High Capacity Data Hiding Scheme In Lsb Based Image Steganography
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A High Capacity Data-hiding Scheme in LSB-based Image Steganography
"The phenomenal growth of e-commerce applications in the World Wide Web requires the need to increase the security of data communications over the Internet, especially for highly sensitive document transfer. Steganography techniques were introduced and developed to provide security to these applications. Steganography is a digital technique for hiding secret information into some form of media, such as image, audio or video. Steganography has evolved into a practice of concealing data in larger file in such a way that others cannot suspect the presence of a hidden message. This technique is generally used to maintain the confidentiality of valuable information to protect data from possible theft or unauthorized viewing. In this work, we present a new LSB-based steganography technique to embed large amount of data in RGBA images while keeping the perceptual degradation to a minimum. We propose to use the YIQ color space model to transform the RGB value of the secret image pixel into three separate components, which are then embedded into the least significant bits of each color pixel in the cover image, as well as in the alpha channel. Results obtained from simulation demonstrate that it is possible to attain practical hiding capacities up to 100% of the cover image while maintaining acceptable image quality."--Abstract.
Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security
This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
Steganography Techniques for Digital Images
This book covers newly developed and novel Steganography techniques and algorithms. The book outlines techniques to provide security to a variety of applications using Steganography, with the goal of both hindering an adversary from decoding a hidden message, and also preventing an adversary from suspecting the existence of covert communications. The book looks into applying these newly designed and improved algorithms to provide a new and efficient Steganographic system, called Characteristic Region-Based Image Steganography (CR-BIS). The algorithms combine both the robustness of the Speeded-Up Robust Features technique (SURF) and Discrete Wavelet Transform (DWT) to achieve characteristic region Steganography synchronization. The book also touches on how to avoid hiding data in the whole image by dynamically selecting characteristic regions for the process of embedding. Applies and discusses innovative techniques for hiding text in a digital image file or even using it as a key to the encryption; Provides a variety of methods to achieve characteristic region Steganography synchronization; Shows how Steganography improves upon cryptography by using obscurity features.