@article {778, title = {A Novel Algorithm for Generating pseudo Random Number-}, journal = {Journal of Digital Information Management}, volume = {18}, year = {2020}, month = {08/2020}, pages = {151-156}, type = {Research}, chapter = {151}, abstract = {

This paper proposes a pseudo random number generation algorithm based on cellular neural networks. It used the hyper-chaos characteristics of the cellular neural networks and sets the appropriate parameters to generate the pseudo random number. The experimental results show that, compared with other similar algorithms, this algorithm has the characteristics of simple operation, low complexity, large key space, and good randomness. It can meet the needs of secure communication and network information security, which has good application prospects.

}, doi = {https://doi.org/10.6025/jdim/2020/18/4/151-156}, url = {http://dline.info/fpaper/jdim/v18i4/jdimv18i4_3.pdf}, author = {Gangyi Hu and Weili Kou and Sumeth Yuenyong and Jian Qu} } @article {819, title = {A Noise-Robust Image Encryption Algorithm Based on Hyper Chaotic Cellular Neural Network-}, journal = {Journal of Digital Information Management}, volume = {15}, year = {2018}, month = {10/2018}, pages = {246-257}, type = {Research}, chapter = {246}, abstract = {

We propose an image encryption algorithm based on a 6-dimensional chaotic cellular neural network (CNN) that is robust to noise/missing pixels in the cipher image. We performed parameter search on the templates of the CNN in order to discover the parameters that leads to 6D chaotic evolution of the state, and then used the resulting chaotic sequence as the basis of encryption. The encryption process itself consists of shuffling the positions of image pixels based on the numerical value of the chaotic sequence; the second half of the encryption process consists of changing the shuffled image pixel values by performing XOR operation between the pixel values and the numerical value of the chaotic sequence. By using simple operations like sorting and XOR in the encryption process, the algorithm is robust to noise/ missing pixels in the cipher image. We illustrate this by comparing the robustness against 3 recently proposed chaos-based image encryption algorithms. The results show that our algorithm is competitive with the state-ofthe-art in term of encryption security, and superior in term of robustness.

}, doi = {http://dline.info/fpaper/jdim/v16i5/jdimv16i5_4.pdf}, url = {https://doi.org/10.6025/jdim/2018/16/5/246-257}, author = {Gangyi Hu and Sumeth Yuenyong and Jian Qu and Jian Rong, and Weili Kou} } @article {699, title = {A Noise-Robust Image Encryption Algorithm Based on Hyper Chaotic Cellular Neural Network}, journal = {Journal of Digital Information Management}, volume = {16}, year = {2018}, pages = {246-257}, chapter = {246}, doi = {https://doi.org/10.6025/jdim/2018/5/246-257}, author = {Gangyi Hu and Sumeth Yuenyong and Jian Qu and Jian Rong and Weili Kou} }