Enhancing Video Steganography Techniques Using Hybrid Algorithms

The proposed work addresses the imperative of safeguarding sensitive information through a dual-security approach of encryption and steganography. Employing the Advanced Encryption Standard (AES) for the first level, and bitmap graphics as video frames with steganography techniques in the second, it achieves heightened data protection and imperceptibility, validated through superior statistical quality assessments. It advocates combining AES encryption with Fisher-Yates-based randomization for heightened data security. The paper introduces automated processes for recovery, decryption, concealment, and encryption, utilizing XOR, 1 bit LSB, and spiral pixel selection to optimize payload capacity and quality metrics in films. The research suggests implementing the Advanced Encryption Standard (AES) algorithm for secure video steganography. The proposed method involves AES encryption, Fisher-Yates frame shuffle, Prewitt edge detection, and triple XOR embedding, enhancing data security and imperceptibility. The algorithm employs a dynamic frame selection technique and pixel filtering using Prewitt edge detection, contributing to a robust video steganography system. The embedding and retrieval processes ensure secure communication, demonstrating the methodology’s effectiveness in concealing and extracting information within video frames.