Design and Comparative Analysis of a User-Friendly Telegram Bot for Image Steganography using F5 and LSB Algorithms

Abstract

Secure communication has become increasingly important with the rise of online communication and data privacy concerns. Image steganography is a popular method for secure communication, but existing systems face several challenges. One of the primary challenges is maintaining image quality while hiding a significant amount of data within the image. Additionally, many existing systems are not user-friendly or system-independent, making them less accessible to a wider range of users. Security and detection of hidden messages are also challenges that need to be addressed. To address these challenges, user-friendly Telegram bot for image steganography that uses the F5 algorithm for JPEG images and the LSB algorithm for PNG images is presented in the study. The objective is to provide a secure and user-friendly platform for image steganography that is easily accessible and system-independent. The use of Telegram as the platform for the bot provides a familiar and widely-used interface that many users are comfortable with. Additionally, the use of encryption ensures that hidden messages are transmitted securely and cannot be easily intercepted or detected. This survey demonstrates that the proposed system provides high-quality steganography images that are difficult to detect, addressing the challenge of detection. Overall, the proposed system aims to overcome the challenges faced by existing image steganography systems and provide a reliable and effective method for secure communication.