http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16903 2026-06-28T05:21:30Z 2026-06-28T05:21:30Z Haider, Tayeba Binte http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17293 2026-06-13T21:02:23Z 2025-02-11T00:00:00Z

An Improved 4-Dimension Pixel Selection Method to Enhance Capacity in Image Steganography Haider, Tayeba Binte The use of social media and the internet has been rising and a lot of data is being exchanged as well. Vulnerability increases with the amount of data shared. It is essential and required that shared data be secure and private. Techniques like watermarking and cryptography are employed to ensure security. However, the ciphertext's accessibility instantly raises suspicions and attracts the attention of malicious people. This brings us to yet another technique steganography. The primary goal of steganography is to conceal the existence of secret communication rather than the content of it. Image steganography, which helps protect sensitive information, is similar to concealing secret messages in common photos. As a way to improve data concealment within images, an improved method for image steganography is introduced in this study. There are limits to how much data can be hidden using conventional methods like LSB substitution without sacrificing image quality. A 4-directional pixel selection method is proposed as a solution, methodically embedding data outward from the image center. By incorporating encryption more specifically, the RSA cryptosystem the technique improves data security. As experimental evaluations with Lena, Lake, and pepper images show, the suggested technique is developed by discretely embedding important data while preserving image quality. With its foundation for safely hiding significant amounts of data inside images, this technique offers a potential development in image steganography. Analysis has been used to measure the quality, and the value of the quality assessment matrices has produced improved results and retains a maximum of 1256 bytes of hidden data. Thesis Report

2025-02-11T00:00:00Z Wasim, Md http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11786 2026-04-23T04:10:24Z 2024-01-20T00:00:00Z

An Improved Zig Zag Pixel Selection Approach in LSB Based Secure Image Steganography Wasim, Md Steganography is a method that employs cryptographic techniques to encrypt sensitive information, thus facilitating the transmission of confidential data from the sender to the receiver over the transmission channel. Despite the fact that this data is not readily detectable, an intruder would have a difficult time capturing it. In this paper, investigates an innovative approach for image steganography that combines the Zigzag Pixel Selection technique with the Blowfish encryption algorithm in order to bolster the security and capacity of concealed data. The encryption procedure incorporates the Blowfish algorithm to ensure strong security of sensitive data, whereas the Zigzag Pixel Selection technique assures covert integration within the image. Blowfish is an exceptionally robust algorithm due to the variable length of its keys, which can vary between 32 bits and 448 bits. The previously mentioned flexibility empowers users to modify the key size in accordance with their particular security needs. Data security is enhanced and resistance to brute- force attacks is generally improved with an extended key. Zigzag patterns are often used in various algorithms for data traversal or manipulation. In the context of image processing, a zigzag pattern might be employed for pixel selection or scanning order. The basic idea is to traverse the pixels in a zigzag fashion rather than a simple left-to-right, top-to-bottom order. Our contribution is to improve the capacity of hidden data while embedding by using a 4-directional pixel selection technique.

2024-01-20T00:00:00Z