http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/1421 2026-06-16T19:38:44Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17264 A Secure DWT based Approach for Image Steganography to Enhance Embedding Capacity and Robustness Ahmed, Md. Rezone Image Steganography is one of the essential fields for secure data transmission which hide a secret message inside an array of digital image so that the human examiner cannot perceive it. However, issues such as limited embedding capacity and susceptibility to attacks require more robust and efficient techniques. In this research work, a secure DWT based image steganography approach is proposed to enhance embedding capacity and robustness. Utilizing the multi-resolution features of DWT the method decomposes the cover image into frequency sub-bands and achieves optimal hiding in the zones with excellent invisibility. We incorporate a strong encryption scheme in the embedding process to hide hidden data from an unauthorized extraction. Moreover, adaptive embedding methods are adapted to change data insertion according to image features, resulting in a huge increase in capacity without sacrificing visual quality. Extensive experiments show that the proposed method achieves clear improvements in imperceptibility, capacity and robustness of attacks including noise addition, compression, and cropping. So far, this work takes a significant step forward in the state of the art of secure steganography (i.e., data hiding), as it provides an extremely secure solution that is both high-capacity and robust. Project Report 2025-01-11T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17263 An E-commerce Platform With Smart Features Jayead, Md.Towfique Hasan The Multi-Vendor E-Commerce Platform is a comprehensive web application intended to deliver an integrated solution for buyers, merchants, and administrators, facilitating a seamless and scalable online marketplace. This project seeks to optimize e-commerce operations by allowing different sellers to oversee their products, inventories, and orders, while providing customers with an extensive shopping experience. The platform utilizes contemporary web technologies, including HTML, CSS, JavaScript, and React for the frontend, with Node.js and Express for the backend, to provide a responsive and user-friendly experience. A robust and efficient database, utilizing MongoDB, guarantees dependable data storage and retrieval for various e-commerce operations. The platform includes essential functionality such as user registration and authentication, product browsing and filtering, a shopping cart, secure checkout and payment integration, order tracking, and ratings and reviews. Vendors utilize technologies for inventory management, order processing, and analytics, whereas administrators can monitor user activity, categories, reviews, and produce comprehensive reports to uphold platform integrity and efficiency. The project, developed under Agile approach, emphasizes iterative enhancements and ongoing input, facilitating prompt problem resolution and alignment with user expectations. The establishment of secure payment gateways, strong authentication systems, and performance enhancement highlights the platform's dedication to security, dependability, and scalability. The Multi-Vendor E-Commerce Platform is engineered to accommodate the dynamic requirements of e-commerce, with prospective improvements including mobile application integration, sophisticated customisation, and AI-driven recommendations. This project signifies a substantial advancement in establishing a dynamic and user-focused marketplace that empowers sellers and improves the shopping experience for consumers. Project Report 2025-01-11T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17262 Deep Learning-Based Video Steganography Using DCT to Improve Imperceptibility Swity, Nasrin Akter Steganography is an important part of modern digital contact because people need safer ways to hide data that can't be found. The Discrete Cosine Transform (DCT) is used in this study's deep learning-based video steganography design to make it harder to spot while keeping the ability to embed and being strong. The suggested method uses convolutional neural networks (CNNs) to improve the embedding process by focusing on high-frequency DCT coefficients. This is different from traditional methods, which often compromise quality or security. By putting the secret information in the luminance component (Y) of the YUV color space, the method ensures the least amount of perceptual distortion. With a Peak Signal-to-Noise Ratio (PSNR) of more than 45 dB and a Structural Similarity Index Measure (SSIM) of more than 0.96, the system works well in tests. These results show that the method has promise. Project Report 2025-01-18T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17261 YOUR SHOP E-Commerce (Web Based) Moyan, Kazi Mahumudur Rahaman The “YOUR SHOP E-Commerce Website” project aims to establish a robust online platform for facilitating seamless buying and selling experiences. The platform is designed to cater to a diverse range of products, providing users with an intuitive interface to explore, select, and purchase items of their choice. In this project admin can easily add new category with different product from this, also admin can add new product, admin can view the latest product also, admin can manage payment system. In user dashboard user can order product and add to card, after finding a product, when product add on card user will get a notification user can pay by e-banking. User can contact with admin anytime also admin can do like this Project Report 2025-01-18T00:00:00Z