Abstract
Purpose: discuss the role of the neural network (NN) theory in the computer network security evaluation. Method: propose three-level and four-class indicator system suitable for network security evaluation, establish the network security evaluation system model based on NN, optimize the NN model by using the particle swarm, collect 100- group data on the computer network security evaluation of different scales via expert scoring, and normalize them; Result: the evaluation model based on NN is simple and practicable to network security evaluation and can eliminate disturbance of the subjective factors of the human being. The simulation results indicate that the system can reduce relative output error and improve correctness rate of evaluation. Conclusion: The NN model is very valuable in research on the computer network security evaluation system, which can offset weaknesses of the past evaluation methods to some extent, improve precision of the evaluation results, and provide reference to prediction and control of the network security problems in future.
Highlights
With quick development of sciences and technologies, the computer network and communication technologies quickly develop and become extensively popular
This paper deeply explores the role of the neural network (NN) for the current network security evaluation system, and deeply studies its application in the computer network security evaluation
This paper studies how to introduce the NN theory into the evaluation system of the computer network security, discusses its role in the evaluation system, and aims to propose an accurate and scientific network risk evaluation system
Summary
With quick development of sciences and technologies, the computer network and communication technologies quickly develop and become extensively popular. The network security issue is very severe in China, e.g. the computer system is severely infected and destructed by viruses, the PC hacker activities become important threats, the information infrastructure faces the challenge from the network security, and subversive activities such as network politics, cults and terrorist attack are frequent. The computer network security is a comprehensive subject involving computer science, network technology, communication technology, and application mathematics. By using the adaptive artificial intelligence algorithm with self-learning and self-organization capability and powerful function, the ANNs model can effectively overcome the defects of a traditional statistics model, adjust the connection weights between nerve cells, capture the non-linear law between the computer network security and attributes, and accurately evaluate the computer network security, so it is very suitable for evaluation of the computer network security [6]. This paper deeply explores the role of the NN for the current network security evaluation system, and deeply studies its application in the computer network security evaluation
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