Network Security Situation Prediction Method Based on sa_soa_bp Neural Network

Abstract

The present invention proposes a network security situation prediction method based on SA_SOA_BP neural network, the steps are as follows: collect network security data information for preprocessing of experimental data; use trial and error method to determine BP neural network according to the input quantity and output quantity in the experimental data The network structure of the network; the improved crowd search algorithm by introducing the simulated annealing algorithm into the crowd search algorithm; initializing the simulated annealing algorithm, using the improved crowd search algorithm to find the optimal individual, and calculating the fitness value of the individual through the fitness function. The connection weights and thresholds of the BP neural network are optimized; the test samples are substituted into the BP neural network to obtain the predicted value of the network security situation. The invention introduces the simulated annealing algorithm into the crowd search algorithm, overcomes the problems that the crowd search algorithm easily falls into local optimum and slow convergence, and utilizes the advantages of the improved crowd search algorithm in speed and global search to optimize and improve the BP neural network.

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...

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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

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