Chaotic map which has excellent unpredictability and complexity is extensively used in various fields such as information security, information communication, system control, etc., and thus, there is an intensive research work to improve its chaotic characteristics.
Generally, digital images, compared to text data, have some characteristics different from ordinary data, such as very large capacity, high overlap and strong correlation between adjacent pixels. On the other hand, digital image data requires strong real-time property in communication, storage and distribution, and hence a fast and secure algorithm is needed for its encryption.
Jong Chol Min, a researcher at the Institute of Information Technology, studied the excellent chaotic performance of 2D-ICCM (2D Infinite Collapse Coupling Map) proposed by a researcher and proposed a simple-structured and fast-speed pixel-level image encryption algorithm using 2D-ICCM.
In image encryption algorithms using chaotic maps, it is common to repeat permutation and diffusion processes several times in order to increase the complexity of encryption and decryption processes. However, it results in degradation of the whole performance of encryption scheme, especially degradation of the ability to resist against cropping and noise attacks in the decryption process. Therefore, he bolstered the system complexity by using the chaotic output sequence used in each step interchangeably while repeating the permutation and diffusion process only twice.
He verified through various experiments that the pixel-level image encryption algorithm using 2D-ICCM has comparatively better chaotic performance than the previous 2D chaotic maps and algorithms.
His paper “A New Color Image Encryption Algorithm Using 2D Chaotic Map” was presented at “2025 10th International Conference on Intelligent Information Technology (ICIIT 2025)”.