Enhanced Steganography Security Framework

Abstract

In the digital domain, secure communication relies on robust encryption and decryption methods. This paper explores the implementation of these techniques for both textual and visual data, incorporating functionalities such as text-in-image and image-in-image encryption and decryption. For text-in-image encryption, steganography is employed to discreetly embed textual information within an image, while decryption involves extracting this hidden information using specialized algorithms. Similarly, image-in-image encryption enables embedding one image within another, preserving the confidentiality of the embedded image, with decryption reversing this process to recover the original content. To enhance security, the paper utilizes cryptographic algorithms such as AES, DES, and RSA, along with techniques like pixel manipulation and Least Significant Bit (LSB) substitution for image encryption and decryption. This comprehensive approach provides a robust solution for safeguarding both textual and visual data across digital communication channels. Beyond demonstrating the practical application of encryption techniques, the paper underscores their pivotal role in maintaining data privacy and security in today's increasingly digitalized world. The Secure Steganography System directly addresses the critical need for safeguarding information from unauthorized access and ensuring secure communication. By integrating cryptographic methods with steganography within a Python framework, the system enables secure embedding and retrieval of hidden data in text and images, rendering the concealed information virtually imperceptible to unauthorized entities. Encryption and decryption processes ensure that only authorized individuals can access the embedded data. As digital communication continues to grow exponentially, the need for advanced security measures to protect sensitive information from cyber threats becomes increasingly urgent. The Secure Steganography System proactively meets these challenges by developing a robust methodology for embedding and retrieving hidden data within text and images, demonstrating its effectiveness in ensuring data privacy and secure communication in a highly interconnected digital age.