ADAPTIVE HYBRID STEGANOGRAPHY: A MULTI-DOMAIN APPROACH FOR ENHANCED SECURITY AND IMPERCEPTIBILITY IN DIGITAL COMMUNICATION
Keywords:
Steganography, Steganalysis, Digital Media, Information Hiding, SecurityAbstract
Steganography, the art and science of hiding information within other non-secret text or data, has evolved significantly with advancements in digital technology. This technique leverages various media formats such as images, audio, video, and text to conceal data, making it an essential tool for secure communication in an increasingly interconnected world. This comprehensive review explores the fundamental principles of steganography, highlighting its historical evolution, methodologies, and contemporary applications. We delve into the different steganographic techniques, including spatial domain, transform domain, and adaptive methods, emphasizing their strengths and weaknesses in terms of capacity, imperceptibility, and robustness. The review also addresses the critical aspect of security in steganography, discussing the potential threats and countermeasures associated with steganalysis, the process of detecting hidden information. We examine various steganalysis techniques, from basic statistical analysis to advanced machine learning algorithms, assessing their efficacy in different scenarios. Furthermore, the ethical and legal implications of steganography are considered, given its dual-use nature in both protecting privacy and facilitating malicious activities. The review concludes with an overview of emerging trends and future directions in the field, including the integration of artificial intelligence and the development of novel steganographic frameworks that promise enhanced security and efficiency. By providing a holistic understanding of steganography and its security aspects, this review aims to inform researchers and practitioners about the current state and future prospects of this intriguing discipline.
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