media security Research progression on chaotic image encryption algorithms Nowadays, image multimedia data depends on the Internet for transmission. Due to its large storage space and difficulty in transmission, the secure transmission technology of confidential images needs to be developed [1]. Image encryption (IE) algorithm can convert images into randomly encrypted images. Due to its easy implementation and high portability, the proposed IE scheme is gradually applied to multimedia technology [6]. Image encryption mainly uses four methods. The four principles are sequential arrangement[8], secret segmentation and sharing[9], modern cryptography[10], and chaotic dynamic systems[11]. The image encryption technology chaotic dynamic systems y based on chaotic dynamic system[12] is a cryptographic encryption technology that has developed rapidly in recent years. In the past ten years, traditional chaotic image encryption technology is based on the spatial domain and the transform domain[4]. Most of these methods directly act on image pixels, mapping the original image to a random/cryptographic image. The sequences generated by these traditional chaotic systems are pseudo-random and periodic. If the attacker makes minor changes to the original image, then use the proposed algorithm to encrypt the original image before and after the change. The periodicity of the algorithm may be calculated [5]. Wu and his team proposed a color image encryption scheme based on a onedimensional chaotic system and DNA sequence manipulation. Randomly transform the key stream through DNA coding rules. Complementary and XOR operations are performed on the DNA matrix to break the strong correlation between adjacent image pixels [7]. Through the robustness test and NPCR and UACI scores, it can be concluded that the algorithm has better security and robustness. Regarding the efficiency of the algorithm, the algorithm combined with parallel computing technology greatly reduces the complexity of the algorithm [7]. Jizhao Liu and his team developed a new fourth order chaotic pulse system and its encryption method [3]. The system generates two chaotic sequences using the average pixel value of the original image, then XOR transforms the pixels of one sequence, and encrypts the other sequence by row and column transformation [3]. The system uses hyperbolic sine as a nonlinearity. Its NPCR and UACI scores were close to ideal values and are better than algorithms that use DNA coding rules. Its security is better than the traditional chaotic system, but the encryption and decryption time is too long. Pan Shuang and his team proposed a image encryption system which is based on complex chaotic system and artificial neural network. Compare to the tradition encryption algorithm, Pan’s model also used chaotic sequence as the input layer to get a random sequence, but their neural network can be used to eliminate chaotic periodicity [2]. As a result, the impact of chaotic periodicity on the capability of the system will be reduced effectively. Moreover, their chaotic system Logistic mapping is adopted as a trigger, combined with Tent and Sine mapping [2]. Their algorithms have improved in media security terms of security and time efficiency. In conclusion, the combination of chaotic dynamic system's image encryption algorithm and DNA coding to eliminate the periodic influence of the chaotic system is a feasible method [13]. Another modern technology that is combined with artificial neural networks has more potential in terms of security and algorithm efficiency. Reference: [1] Raja, S. P. (2018). Secured medical image compression using DES encryption technique in Bandelet multiscale transform. International Journal of Wavelets, Multiresolution and Information Processing, 16(04), 1850028. [2] Pan, Shuang, Wei, Jianguo, Hu, Shaobo, Multimedia Tools and Applications January, 2019, A Novel Image Encryption Algorithm Based on Hybrid Chaotic Mapping and Intelligent Learning in Financial Security System [3] Liu, Jizhao, Tang, Shusen, Lian, Jing, Ma, Yide, Zhang, Xinguo, Multimedia Tools and Applications November, 2018, A novel fourth order chaotic system and its algorithm for medical image encryption [4] Singh, S. P., Bhatnagar, G., & Gurjar, D. K. (2018). A secure image encryption algorithm based on polar decomposition. 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA). [5] Farah, M. A. B., Guesmi, R., Kachouri, A., & Samet, M. (2020). A novel chaos based optical image encryption using fractional Fourier transform and DNA sequence operation. Optics & Laser Technology, 121, 105777. [6] Wang, M., Wang, X., Zhao, T., Zhang, C., Xia, Z., & Yao, N. (2020). Spatiotemporal Chaos in Improved Cross Coupled Map Lattice and Its Application in a Bit-level Image Encryption Scheme. Information Sciences. [7] Wu, X., Kan, H., & Kurths, J. (2015). A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps. Applied Soft Computing, 37, 24–39. [8] Orchel, M. (2007). Support Vector Machines: Sequential Multidimensional Subsolver (SMS). Signal Processing Algorithms, Architectures, Arrangements, and Applications SPA 2007. [9] Fadhil Al-Husainy, M. A., & Al-Sewadi, H. A. A. (2018). Full Capacity Image Steganography Using Seven-Segment Display Pattern as Secret Key. Journal of Computer Science, 14(6), 753–763. [10] Izmerly, O., & Mor, T. (2006). Chosen ciphertext attacks on lattice-based public key media security encryption and modern (non-quantum) cryptography in a quantum environment. Theoretical Computer Science, 367(3), 308–323. [11] Liu, Y., Wang, J., Fan, J., & Gong, L. (2015). Image encryption algorithm based on chaotic system and dynamic S-boxes composed of DNA sequences. Multimedia Tools and Applications, 75(8), 4363–4382. [12] Diaconu, A.-V. (2014). An image encryption algorithm with a chaotic dynamical system based Sudoku Grid. 2014 10th International Conference on Communications (COMM). [13] Zhang, J., & Huo, D. (2018). Image encryption algorithm based on quantum chaotic map and DNA coding. Multimedia Tools and Applications.
