3D chaotic map-cosine transformation based approach to video encryption and decryption

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).

Lightweight Medical Image Encrypting and Decrypting Algorithm Based on the 3D Intertwining Logistic Map

“…In 2014, Wang and Xu [18] proposed an intertwining relation between different LM sequences [19], which indicates that the ILM has more dynamic behavior than the LM [19]. The equations for the ILM sequence are as follows:…”

Even symmetric chaotic and skewed maps as a technique in video encryption

“…The proposed algorithm had lower time overhead and did not cause a significant increase in bit rate. Dua [22]proposes a fast and secure method of video encryption using 3D an Intertwining Logistic Map (ILM) with cosine transformation to generate a complex chaotic sequence. The keys produced by combining SHA-2 with cosine-based ILM are more uniform, and nonlinear.…”

A novel chaotic map-based encryption scheme for surveillance videos

“…In recent years the chaotic theory has been adopted for image and video encryption due to its excellent features such as complex and unpredictable behavior, initial condition dependency, randomness, and ergodicity. The main principal of chaotic security mechanism is permutation and diffusion [8][9][10][11]. Permutation changes the pixel positions in a frame or an image.…”