StegoVision: Enhanced Video Steganography via Prewitt Edge Mapping and 3-XOR Secured LSB

The significant research contribution of this study is the development of an automated two-tier data concealment technique for video steganography that integrates Advanced Encryption Standard (AES) encryption with a robust steganographic method, enhancing data security and imperceptibility. This approach utilizes a 128-bit AES key for encrypting sensitive information, which is then embedded into video frames using a combination of the Least Significant Bit (LSB) method and a Prewitt pixel selection technique, achieving superior data invisibility while maintaining frame quality. The proposed model also incorporates a Fisher-Yates randomization method for frame selection, which increases the resilience and payload capacity of the steganographic process, and demonstrates improved performance metrics such as Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) compared to existing techniques.