Network security situation prediction method based on SA _ SOA _ BP neural network

Abstract

The invention provides a network security situation prediction method based on an SA _ SOA _ BP neural network. The method comprises the steps of collecting network security data information as experimental data for preprocessing; determining a network structure of the BP neural network by using a trial-and-error method according to the input quantity and the output quantity in the experimental data; introducing a simulated annealing algorithm into the crowd search algorithm to obtain an improved crowd search algorithm; initializing a simulated annealing algorithm, finding an optimal individual by adopting an improved crowd search algorithm, calculating the fitness value of the individual through a fitness function, and optimizing the connection weight and threshold of the BP neural network; and substituting the test sample into the BP neural network to obtain a predicted value of the network security situation. According to the method, the simulated annealing algorithm is introduced into the crowd search algorithm, so that the problems that the crowd search algorithm is easy to fall into local optimum and slow in convergence are solved; and the BP neural network is optimized and improved by utilizing the advantages of the improved crowd search algorithm in speed and global search.

Description

technical field [0001] The invention relates to network information security, specifically belongs to the technical field of network security situation awareness, and in particular relates to a network security situation prediction method based on SA_SOA_BP neural network. Background technique [0002] With the rapid development and application of big data, artificial intelligence and the Internet, the complexity of the network structure, the diversification of data, and the diversification of network protocols have intensified multi-level and multi-form network security risks. Network attacks are increasingly trending toward distribution, scale, and complexity. Traditional network security defense methods such as intrusion detection systems and firewalls can no longer meet the current high-speed, intelligent, and multi-source network security needs. More advanced and optimized Technical means and methods to prevent the occurrence of network security incidents. In 1999, Bas...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problems that the existing network security situation prediction method is unsatisfactory in terms of accuracy and efficiency in the face of massive data, and cannot adapt to the dynamic and changeable network security requirements, the present invention proposes a network security situation prediction method based on SA_SOA_BP neural network , the simulated annealing algorithm (SA) is introduced into the crowd search algorithm (SOA) and combined with the BP neural network, which improves the accuracy of network security situation prediction and the convergence speed of prediction

Images