Secure video steganographic model using framelet transform and elliptic curve cryptography

Information security holds a quintessential role in the era of digital communication. Nowadays, social media has become the new platform to share a massive length of digitally transmitted multimedia files without being suspected. Hence, it can hide data, enabling the security providers to add an extra layer to the existing traditional framework. Videos are the most shared digital content and carry the maximum payload, which is best suitable for steganography. This paper suggests a secured stego key-based video steganographic method that uses Framelet Transform to embed secret data in the cover media. Here the main focus is to reduce the computational cost by introducing the stego key, which reserves the information regarding the location of the secret data. For an additional layer of security, the stego key is encrypted using Elliptic Curve Cryptography (ECC) based encryption scheme. The robustness of the scheme is enhanced by introducing a large prime number for the stego key sharing using the Elliptic Curve Diffie Hellman Key Exchange Protocol. Performance measures, including PSNR, MSE, SSIM, and BER, are compared with the traditional state-of-the-art methods, which produce significant results without tampering with the visual quality and perceptual characteristics of the stego video.