Text in Image Hiding using Developed LSB and Random Method

Author:

Abbood Elaf Ali,Neamah Rusul Mohammed,Abdulkadhm Shaymaa

Abstract

<p><span>Information Hiding is a task that face difficult challenges in current time. <br /> The reason for these challenges is the rapid development of methods of detection of hidden information. So, researchers have been interested in developing methods of concealment, making it difficult for attackers to access hidden information using new methods of concealment. Such as the introducing a complex algorithms, use a random methods and invent more complicated and difficult steps. This paper presents a new method of hiding information within the image. This method creates a new sequence of mysterious and difficult steps by dividing the secret text on all image and random distributing of bits to each row. Then using a special reverse method to hide the bits in that row. The LSB method has also been developed to make it more difficult to hide the pixel. The results presented illustrate the strength and security of the method and provide greater protection for hidden information. Also, the result illustrate the quality of the stego image compared with the original image using PSNR and SSIM quality measures.</span></p>

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Revisiting the steganography techniques with a novel region-based separation approach;Multimedia Tools and Applications;2024-02-06

2. A Review on Spatial and Transform Domain-Based Image Steganography;Advances in Multimedia and Interactive Technologies;2023-05-31

3. A Comprehensive Study of Digital Image Steganographic Techniques;IEEE Access;2023

4. An Improved Method for Hiding Text in Image Using Header Image;Wasit Journal of Computer and Mathematics Science;2022-12-30

5. Enhanced Algorithms for Steganography Based on Least Significant Bit and Secret Image Compression;2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS);2021-12-05

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