Unified Steganography for Concealing and Extracting Secret Messages

Abstract

Abstract: With the increasing significance of data security in the digital age, steganography has emerged as a crucial technique for concealing information within various forms of media. This paper presents a unified steganographic framework designed to embed and extract secret messages in images, audio, and text files. Utilizing the Least_Significant_Bit (LSB) method, our approach ensures minimal distortion of the host media while maintaining high security and robustness of the hidden messages. The system is implemented in Python, featuring an intuitive graphical user interface (GUI) to facilitate user interaction. Comprehensive experiments and analyses demonstrate the effectiveness of our method in maintaining the imperceptibility and integrity of the steganographic media. This unified solution offers a versatile and efficient tool for secure communication, digital watermarking, and protection of intellectual property. Our findings underline the potential of integrating steganographic techniques across different media formats to enhance data security and privacy.