Information Security and Confidentiality Based on Data Mining

Abstract

The paper introduced the background and significance for researches based on image information confidential mining, and analyzed the research achievements of confidentiality core technology of image information. And it studied relevant concepts and theories of digital chaotic mining theory and image scrambling. Eventually, it focused on studies of logistic mapping based chaotic system, conducted in-depth research and experimental simulation optimization, performed mining extraction and optimization of numerical information specific to logistic mapping. The obtained relevant conclusion is: when there are three wavelet decomposition levels, the order of magnitudes of overall key space can reach 10 in total. Consequently, when there are 3 wavelet decomposition levels, the overall key space order of magnitude has reached level 10 180 . The image encryption algorithm based on wavelet transform integrating with 2D logistics not only can realize high precision retention of information, but also can significantly increase the order of magnitudes of key space, and further improve the security of image encryption.