An Enhanced Adaptive Steganography Framework Using Inverted LSB and Optimal Patterns (EASIOP)
摘要
Numerous techniques in image steganography have been developed to enhance Stego image qualities, focusing on imperceptibility, capacity, and security. Maintaining more payload capacity without compromising security and imperceptibility is a significant challenge in steganography. To fortify the system further, an adaptive pattern is proposed during the inverted LSB substitution process to enhance imperceptibility. The Advanced Encryption Standard (AES) is implemented before embedding for better security and reliability. The method will find the best bit combination with the least error rate during the message embedding process, improving the efficiency of the inverted Least-Significant-Bit (LSB) replacement technique, which uses a two-bit LSB pattern in the cover image. Before embedding, the bits of the message and the cover image are analyzed. The error rate is calculated using the inverted LSB replacement techniques for various potential patterns. The pattern with the lowest error rate is then selected for embedding. By employing such an adaptive pattern in inverted LSB image steganography, imperceptibility is enhanced substantially. Extensive testing and comparative analysis with previous research demonstrate substantial improvements.