Abstract
While the internet brings convenience to people, there are also many security problems. This study mainly discusses network security communication and ideological security technology based on multisource data analysis. The situation awareness model based on dynamic threat weight is mainly composed of the fusion module, evaluation module, and prediction module. The situation fusion module is mainly based on the fusion algorithm of distance vector optimal classification to fuse multisource data. The situation assessment module is based on the situation assessment method based on a dynamic threat weight to quantitatively evaluate the situation value. The situation understanding part is the basis of situation awareness. Firstly, a large amount of original security data is merged at the data level to obtain a standardized dataset. Then, the relationship between the data is analyzed by the method of correlation analysis, and the security incident information and threat propagation network are obtained. The knowledge training module accurately feeds back the relevant parameters and data, and the knowledge training module adjusts the data accuracy according to the received data accuracy. The main function of the situation fusion module is to process the multisource data and use the fusion algorithm for data fusion. The situation assessment module uses the fused data combined with a specific method for comprehensive assessment and uses visualization technology to show the final results in front of the administrator, which is convenient for more efficient operation. Based on the data fusion module, the situation assessment module judges the current network security status, detects the assessment results through error checking, and feeds back to the knowledge training module. From the trend of the overall network situation, we can see that the probability of the overall network at 4 is the highest, followed by 5. This study makes an effective evaluation of the overall network security.
Highlights
When people read web news every day, they often encounter security incidents, such as hackers swiping bank cards and all kinds of endless Trojans and worms attacking again
Situational Awareness Model Based on Dynamic reat Weights. e situation awareness model based on dynamic threat weight is mainly composed of the fusion module, evaluation module, and prediction module. e following will give a brief description of each module in detail. e situation fusion module is mainly based on the fusion algorithm of distance vector optimal classification to fuse multisource data. e situation assessment module is based on the situation assessment method based on dynamic threat weight to quantitatively evaluate the situation value
Situation assessment plays the role of a judge in network security situation awareness. e fused data shows the current network security state using a specific value or waveform with amplitude change through assessment. e situation assessment module uses the fused data combined with a specific method for comprehensive assessment and uses visualization technology to show the final results in front of the administrator, which is convenient for more efficient operation
Summary
When people read web news every day, they often encounter security incidents, such as hackers swiping bank cards and all kinds of endless Trojans and worms attacking again. E data on which situational awareness is based comes from these pieces of detection equipment deployed in different locations, which can be IDS, firewall, and alarm log of the system. E output result of the equipment is huge, for example, the IDS alarm log often shows the amount of data of G level To apply these detection results to situational awareness, these large amounts of heterogeneous security data must be processed. Zhang et al reconfigured the equipment and sent the trip command to the intelligent electronic equipment that controls the system breaker He modified and adopted the average destruction time model and estimated the frequency of intrusions through various paths, he did not give a specific network defense strategy [1]. E situation awareness model based on dynamic threat weight is mainly composed of a fusion module, evaluation module, and prediction module. e situation fusion module is mainly based on the fusion algorithm of distance vector optimal classification to fuse multisource data. e situation assessment module is based on the situation assessment method based on dynamic threat weight to quantitatively evaluate the situation value. e knowledge training module transmits relevant parameters data accuracy to the knowledge training module, and the knowledge training module adjusts the data accuracy according to the received data accuracy. e main function of the situation fusion module is to process the multisource data and use the fusion algorithm for data fusion to reduce the amount of data and improve accuracy. e situation assessment module uses the fused data combined with a specific method for comprehensive assessment and uses visualization technology to show the final results in front of the administrator, which is convenient for more efficient operation
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