Cloud computing data security management strategy based on incremental update of data value
Zhiying Wang, Nianxin Wang, Shilun Ge
Abstract
Purpose As cloud computing enterprise users migrate their business data to the cloud, they relinquish control over their data. How to update cloud computing data security management strategy is a serious challenge for cloud computing enterprise users. From the perspective of cloud computing enterprise users, the influence of data value fluctuation on data security management strategy in cloud computing environments necessitates further exploration. Design/methodology/approach The detection model about incremental update of data value is built and the updating model about cloud computing data security management strategy is also built by the idea of K-nearest neighbors (KNN). To verify the application effectiveness of the model, the data sets containing two-year operating login logs is used for the application analysis, which come from an enterprise’s management information system (MIS). Findings Based on the detection results about incremental update of data value, the management strategy about cloud computing data security is correspondingly updated according the strategy of the nearest neighbors. Originality/value The research results provide the model and method for the enterprise to update cloud computing data security management strategy according to the change of data value and help the enterprises to improve the active defense capability about cloud computing data security.