Steganografi kullanarak bulutta güvenli veri depolamave görsel kriptografi

Due to the fact that digital images include sensitive data from a variety of sources, including human, medical, satellite, and biometric, among others, they necessitate the highest level of security. The images in question include a multitude of vulnerabilities. In this era of cloud computing and virtualization, securing data from hackers requires an effective method that employs a hybrid algorithm to preserve data from several sorts of hackers. Visual image encryption and LSB steganography are two essential security techniques for protecting sensitive images from unauthorized access and modification. Image encryption transforms the image data into an unintelligible form, while steganography embeds the image data in a cover image to conceal its existence. The study of the behavior of dynamic systems that are extremely sensitive to initial conditions is chaos theory. Chaotic systems are useful for image encryption and steganography due to their unpredictable and erratic behavior. This thesis proposes a new and improved system for color image encryption and steganography based on chaos theory. Using a novel chaotic-based encryption algorithm, the proposed approach uses the Lorenz system to generate a random key to encrypt the color image. The encrypted image is then embedded in a cover image using a novel chaotic-based steganography algorithm. The stego image is then transmitted or stored securely. The proposed system has several advantages over existing methods. First, it is more secure and resistant to attacks because it uses two chaotic systems, the Lorenz system, the Henon map, and the novel encryption and steganography algorithms. Second, it is more scalable vi and efficient due to using the Lorenz system, which is a relatively simple chaotic system. Third, it is more compatible with existing image and video formats. This thesis also provides a comprehensive performance evaluation of the proposed system. The experimental results show that the proposed approach is highly secure, scalable, and efficient. The proposed method is also compatible with existing image and video formats.