Ekhlas Ghaleb Abdulkadhim Ghlai, Zaman Mahdi Abbas, Muqdad Abdulraheem Hayder

Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution

Introduction

Adaptive steganographic technique for digital images based on the least significant bit substitution. Explore an adaptive LSB steganography technique for digital images. It enhances dependability, reduces embedding errors, and provides superior security and quality, outperforming existing methods.

Abstract

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.

Review

The paper, "Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution," addresses the pervasive challenge of information security in an increasingly digital world. Acknowledging the limitations of cryptography for certain secure sharing scenarios, the authors propose an adaptive steganographic approach centered on the Least Significant Bit (LSB) substitution method. The primary aim of this research is to enhance the dependability and efficiency of secret information embedding within digital images, promising a reduction in the embedding error rate. The core of the proposed algorithm is a sophisticated integration of several techniques: LSB substitution, MLEA (an acronym that would need clarification in the full paper), a Secret Key (SK), transposition, and flipping. This combination is designed to fortify the steganographic process for image-based data. The authors claim rigorous validation of their method through experiments on 125 unique RGB images, embedding varying amounts of secret data. Evaluation utilized a range of Quality Assessment Metrics (QAMs) such as PSNR, Contrast, and Image Histogram (IH), complemented by a security analysis. The abstract strongly asserts that their technique yields efficient outcomes, demonstrating superior performance and considerable improvements over existing advanced methods. While the abstract outlines a promising contribution to digital image steganography, a full review would seek more explicit details on the "adaptive" nature of the LSB substitution and the specific role and definition of "MLEA" within the algorithm. The claims of "superiority" and "considerable improvement" are impactful but would require substantial quantitative evidence and detailed comparative analysis against specific state-of-the-art techniques within the manuscript to fully substantiate them. Nonetheless, the described comprehensive experimental setup and the reported significant enhancements suggest this work presents a valuable direction for future research in secure data hiding.

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