The Research on A Network Invasion Prevention Model Based on Information Field Feedback

Abstract: This paper presents the information field from the feedback (Information Domain Self- Feedback, IDSF) model, can ignore the attack to determine the means and methods of direct threats to information and their respective areas. First, the information according to its domain, content and other properties into information field in the trapping environment, the intruder attacked the domain of information to quantify the degree of harm, access to domain information sensitivity, evaluation of data as the basis for the need to focus on protection of network scenarios experiments show that: the model for the first time cyber attack or threat of forecast information and related fields; closed test model data set 97.89% accuracy rate, open environment, the average accuracy rate of 85.96%.