Research on Risk Factors of Fuzzy Evaluation of Network Security Based on Computer Big Data

Under the background of big data, computer technology is widely used in all walks of life, and enterprises need strong technical support. The advent of the era of big data has greatly improved the efficiency of the Internet era, but it has also brought more serious network security problems. In view of the complexity of influencing factors and difficulty in quantifying indicators in network security risk assessment, a risk quantification method based on fuzzy comprehensive evaluation is proposed, and a grading index system of influencing factors for a single risk scenario is established. The enterprise network security risk is divided into five levels, and the enterprise network security risk level is determined according to the evaluation of the expert group. The application example shows that the above algorithm can quantitatively evaluate the dynamic risk of network system and improve the accuracy of network security risk assessment. Finally, aiming at the problems existing in computer network information security, the corresponding countermeasures are put forward. It is hoped that the new key technology of network security risk assessment combined with data application can better realize network security application and protect the privacy of network information.