# Secure Image Transmission Using Multilevel Chaotic Encryption and Video Steganography
## 2 Related Works
However, it does not incorporate cryptographic methods such as AES to enhance security. Our research improves this approach by integrating chaotic encryption with AES, resulting in increased security and improved computational efficiency. In 2023, a steganography method was proposed, combined with encryption using two dynamic keys--a normal string key and another based on the insertion time. These keys are combined to create a stronger encryption key to encrypt the secret message. The encrypted message is then embedded in the image using the LSB method. The experimental results demonstrated that the technique provides enhanced security by adding multiple layers of encryption, making it difficult for attackers to break. The approach also showed minimal degradation in image quality, as confirmed by PSNRs greater than 70 dB, ensuring imperceptibility to the human eye [19]. The research outlined in [19] introduces a versatile method for generating encryption keys specifically for steganography, albeit limited to image processing. In contrast, our investigation enhances this approach by applying it to video transmission, ensuring secure key management and bolstering defenses against cryptographic attacks. In 2022, a novel four-dimensional chaos system was suggested for secure communication and image encryption. The system exhibits complex dynamic behaviors, including the coexistence of chaotic attractors under different initial conditions. The authors analyzed the system using Lyapunov exponents, bifurcation diagrams, and complexity measures. They also implemented the system on a digital signal processing (DSP) platform to verify its practicality in real-world applications. The experimental results demonstrated that the chaotic system effectively produces complex, unpredictable behaviors desirable for encryption and communication systems. The DSP implementation showed high consistency between the theoretical analysis and the real-world application [20]. Despite introducing a four-dimensional chaotic system characterized by significant security attributes, the study did not expand its conclusions to encompass video encryption. Our work builds on this earlier work by integrating chaotic maps into a secure video encryption framework to enhance its applicability in multimedia security. In 2020, a novel video encryption technique was proposed using a three-dimensional intertwining logistic map (ILM) combined with a cosine transformation. This approach generates complex, chaotic sequences to encrypt video frames. Encryption involves segmentation, pixel scrambling, 90\({}^{\circ}\) frame rotations, and random order substitution techniques. The frames are then jumbled based on a frame selection key before reassembling them into an encrypted video. The experimental results demonstrated high security and efficiency, with parameters such as entropy, UACI, and correlation coefficients (CCs) validating the method's robustness. Decryption was also verified using metrics like mean square error (MSE) and PSNR to ensure minimal loss in video quality [12]. This study introduces a technique for video encryption that combines a 3D chaotic map with a cosine transformation. However, it does not take into account real-world transmission constraints or offer a comprehensive security evaluation against brute-force attacks. Our method incorporates AES alongside chaotic maps to enhance resistance to various attack vectors.