Abstract
Abstract Data security is vital for multimedia communication. A number of cryptographic algorithms have been developed for the secure transmission of text and image data. Very few contributions have been made in the area of video encryption because of the large input data size and time constraints. However, due to the massive increase in digital media transfer within networks, the security of video data has become one of the most important features of network reliability. Block encryption techniques and 1D-chaotic maps have been previously used for the process of video encryption. Although the results obtained by using 1D-chaotic maps were quite satisfactory, the approach had many limitations as these maps have less dynamic behavior. To overcome these drawbacks, this article proposes an Intertwining Logistic Map (ILM)-Cosine transformation-based video encryption technique. The first step involved segmenting the input video into multiple frames based on the frames per second (FPS) value and the length of the video. Next, each frame was selected, and the correlation among the pixels was reduced by a process called permutation/scrambling. In addition, each frame was rotated by 90° in the anticlockwise direction to induce more randomness into the encryption process. Furthermore, by using an approach called the random order substitution technique, changes were made in each of the images, row-wise and column-wise. Finally, all the encrypted frames were jumbled according to a frame selection key and were joined to generate an encrypted video, which was the output delivered to the user. The efficiency of this method was tested based on the state of various parameters like Entropy, Unified Average Change in Intensity (UACI), and correlation coefficient (CC). The presented approach also decrypts the encrypted video, and the decryption quality was checked using parameters such as mean square error (MSE) and peak signal-to-noise ratio (PSNR).
Highlights
Rapid innovation in the wireless communication field has created many challenges to transfer data in a secure manner
Because of the large input size and huge time constraints, a less significant development was made when it comes to video encryption [4–13]
NPCR and Unified Average Change in Intensity (UACI), where the former is described as the number of pixel change rate and the latter is defined as unified averaged change in intensity, were used to evaluate the performance of encryption algorithms against these attacks
Summary
Rapid innovation in the wireless communication field has created many challenges to transfer data in a secure manner. Due to these advancements, there has been a significant increase in the transmission of images and videos through the public network. The introduction of social media has led to the mass sharing of videos on the Internet frequently. Because of this intensification of sharing videos, there is a high demand for data security. There are various encryption algorithms used to encrypt/decrypt data. The algorithms that produced some good results in the past are explained in the coming paragraphs; in this era of social media, better encryption techniques are required
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