A network security situation assessment method based on improved woa-svm

Abstract

The present invention proposes a network security situation assessment method based on the improved WOA‑SVM, the steps of which are: to form a sample set with existing network security data; to initialize the WOA algorithm and the SA algorithm; Adapt the weight method to update the current whale position in the WOA algorithm, update the current optimal position of the whale and the global optimal position; judge whether to accept the new whale position according to the jump probability of the SA algorithm; determine whether the termination condition of the iteration is satisfied; will get The value of the global optimal position is assigned to the SVM, and the regression fitting analysis is used to analyze the best parameters for SVM network training, and the evaluation value is converted into a network security level. The present invention uses the global optimization characteristic of WOA to find the optimal parameters of SVM, uses adaptive weights to adjust the whale position update coefficient, and uses SA algorithm to increase random search factors to avoid falling into local extremum, so as to improve the global optimization ability.

Description

technical field [0001] The invention relates to the technical field of network security situation assessment, in particular to a network security situation assessment method based on improved WOA-SVM. Background technique [0002] With the rapid development and application of technologies such as the Internet, big data, cloud computing, and artificial intelligence in my country, cyberspace security is also facing increasing risks and threats. The more prominent problems are DDoS attacks, APT attacks, and the number of high-risk vulnerabilities. The continuous rise of data, the frequent occurrence of data leakage incidents, the continuous emergence of "gray" applications, and the security risks brought by high-tech. At present, the security problems faced by the network system are mainly manifested in: the amount of network security data involved is gradually increasing, and the data is becoming increasingly large; network security incidents are constantly fragmented, so that ...

AI Technical Summary

Problems solved by technology

[0009] In view of the low accuracy and slow convergence of the existing network security situation assessment methods, and the technical problems that WOA is easy to fall into local extremum and slow convergence when solving large and complex problems with data volume, the present invention proposes a method based on improved WOA-SVM network security situation assessment method, based on adaptive weight combined with simulated annealing algorithm (SA) improved whale optimization algorithm (WOA) optimization support vector machine (SVM), can more accurately assess the security situation of the network, and has a better Convergence

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