Digital Image Steganography and Steganalysis: A Comprehensive Review of Evolution of Advanced Techniques
Digital Image Steganography and Steganalysis: A Comprehensive Review of Evolution of Advanced Techniques |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-11 |
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| Year of Publication : 2023 | ||
| Author : Sunil Kumar, Sudeshna Chakraborty |
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| DOI : 10.14445/22315381/IJETT-V71I11P229 | ||
How to Cite?
Sunil Kumar, Sudeshna Chakraborty, "Digital Image Steganography and Steganalysis: A Comprehensive Review of Evolution of Advanced Techniques," International Journal of Engineering Trends and Technology, vol. 71, no. 11, pp. 276-285, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I11P229
Abstract
Steganalysis is the process of detecting the presence of hidden information, such as a message or data, within another message or data. The goal of steganalysis is to identify the presence and type of steganography technique used to hide the information, which can be important for various applications, including law enforcement, intelligence gathering, and cyber security. Therefore, steganography techniques can thought of as hiding information in various types of media, such as images, videos, audio files, and even text data. While steganography techniques for media-based data, such as images and videos, have gained more attention in recent years, steganography for text data has been used for much longer. In fact, the concept of text steganography can be traced back to ancient Greece, where messages were hidden within wax tablets by writing them in between the lines of text. Text steganalysis techniques typically involve analyzing the statistical properties of the text, such as word frequency or character frequency distributions. Other techniques include analyzing the structure and syntax of the text, as well as performing linguistic analysis to identify patterns that may indicate the presence of hidden information. In this study, we shall perform a systematic study of the evolvement of traditional as well as contemporary techniques. The study will also reflect how generative artificial intelligence has impacted the quality of digital image steganography.
Keywords
Digital Image Steganalysis, Steganography, Encryption.
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