Enhancing data security using Laplacian of Gaussian and Chacha20 encryption algorithm

Concealing sensitive information inside multimedia is very interesting in secure communication due to its wide application. This study discusses the different difficulties involved in embedding the ciphertext inside video frame without affecting the imperceptibility and the strength resistance against different cyberattacks. The main goal of this study is to suggest a novel technique to conceal encrypted data inside video frames securely. This is done by combining the Laplacian of Gaussian (LoG) edge detection algorithm and Chacha20 encryption algorithm. LoG facilitates to detect the suitable location inside video frame for concealing data. While ChaCha20 is used to encrypt data before embedding them inside these locations, which augmenting data security. The proposed method involves sequence of steps involving detecting edges inside video frames, determining the suitable edges for concealing data, encrypting data by XORing it with the encryption key which is generated using ChaCha20 algorithm, embedding the encrypted data inside the determined edges, and then reconstruct the video frame to rebuild the video that involves the concealed encrypted data and keeping the lowest level of visual distortion. The experimental results showed that combining these two approaches provide fast, robust, and secure method, which can be seen by evaluating the system using mean square error, peak signal-to-noise ratio, correlation, number of pixels change rate, unified average changing intensity, and entropy, these evaluation metrics provide excellent results. This study suggests a strong and novel method to embed the encrypted data inside video frames which can be employed in secure communication, copyright protection, and data authentication. Merging LoG and ChaCha20 algorithms produce perfect results in both security and visual perception quality, that provides a means for farther achievement in secure data embedding techniques.