It has become natural to retain most of the information electronically, due to developments and improvements in information and communication technology. Thus, information security has become a major problem. Aside from cryptography, two strategies could be utilized to share information in a secure manner. Cryptography and steganography are two of these mechanisms. Using an encryption key known to both the receiver and the sender, the message is encrypted. Without the encryption key, no one will be able to read the message. Consequently, we offer a method that is efficient and based on the Least Significant Bit (LSB) to address this problem. Improved dependability is attained by employing the LSB substitution approach, which reduces the embedding error rate. Utilizing LSB substitution in conjunction with MLEA, Secret Key (SK), transposition, and flipping, we present an algorithm for image-based steganography. Our suggested method is effective and produces efficient outcomes, as demonstrated by multiple experiments. We used a number of Quality Assessment Metrics (QAMs) to evaluate 125 unique RGB images with varying degrees of hidden information, including things like PSNR, Contrast, and Image Histogram (IH). In addition to security analysis, we compared our results to those of other approaches that were already in use and found that ours were superior. The result shows a considerable improvement over the advanced techniques currently available.
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