Information Security Risk Management Model for Big Data

In the current society of rapid expansion information, big data have achieved vigorous development in all walks life, considerably promoting transmission and information sharing. Meanwhile, individuals are becoming increasingly reliant on Internet, but at same time, threat security posed by is visible. As a result, how to protect has piqued interest both government businesses. The essence management risk management, which closely related each other. Therefore, this study focuses following two aspects research work. On one hand, most existing models merely describe abstract from macro-level, they lack assessment, making them ineffective. This builds novel model basis based concept multidimensional management. To achieve dynamic risks keep within an acceptable range as much possible, divided into five levels dimensions. other also optimizes improves fuzzy mathematical analysis method proposes comprehensive assessment core algorithm for layer model. post-event method, advantage that it can comprehensively consider factors affecting quantify some real network effective combination qualitative quantitative, thereby providing decision-making control. Finally, effectiveness application verified example analysis, intended work would provide assistance assurance