| More and more enterprises to build their website in the Internet age,anyone can browse and view the published information,malicious user can easily access to corporate sensitive information and user privacy,which is the current small enterprises widespread privacy protection issues.This dissertation first explains the research background and meaning of this problem,and analyzes the privacy protection in the construction of enterprise website from three aspects on the basis of analyzing the existing privacy protection technology.(1)On the basis of analyzing the existing framework of enterprise website,designs the framework of enterprise Web site with privacy protection,the Privacy Protection Requirement Management module,the Privacy Policy Management module,the Privacy Information Publishing module and the Privacy Information Access Management module,which enhances the privacy protection ability of the enterprise website.(2)On the basis of analyzing the existing privacy protection PPDP(privacy preserving in data Publishing),This dissertation combining the research of sensitive information attribute partition and multidimensional bucket grouping technology,the Privacy Protection Publishing algorithm for multidimensional sensitive data is The anonymous privacy protection model based on attribute classification is constructed.Compared with the experimental results,the new method can effectively reduce the probability of data leakage.(3)On the basis of analysis and research on the existing website information leak detection technology,This dissertation proposes a K-Q enterprise website information leak detection algorithm K-QA,constructs the Web website Flow matrix,sets up the website information Flow leakage rule,establishes the leakage source propagation strategy,extracts the system website info divulging characteristic,Complete the website information leakage detection.Compared with the experimental results,K-QA enhances the accuracy of data leakage detection. |
PDF Full Text Request