Information exposure rating based on hierarchical model for big data

Abstract

Big data improves the function of information, but also increases the exposure of information leakage. From the perspective of information leakage, Information entropy is used to quantify information, and the quantitative index of security exposure are identified as mutual information, and a hierarchical exposure assessment model is established. With the help of local priority principle, classify the types of information leaks and attack methods, the mutual information is determined as quantitative indicators for the exposure of information disclosure. The security exposure of information leakage is evaluated by fuzzy comprehensive evaluation