원문정보
초록
영어
In this paper, in order to assess the risk of network, network security assessment process being involved in the content in detail. The above-mentioned research-based support system platform security test and evaluate research of the safety situation assessment. Prediction subsystem detailed design and carry out the implementation. In this paper, network security issues, as a detailed study of neural networks knowledge. Focus on the evaluation methods and calculation rules of nerve network technology, it has been studied by specific examples. Calculation demonstrated the feasibility of neural network evaluation model through actual case, which pointed out the traditional methods. This paper focuses on the network security assessment based on neural network technology, extensive analysis of the proposed major modeling tool indicator system for network security analysis. The application of neural networks was a network security assessment and to optimize the network by genetic algorithm. The key parameter combination operated efficiency of neural networks to get better play.
목차
1. Introduction
2. Basic Theoretical of Information Security Assessments
2.1 Characteristics of Complex Network Metrics
2.2 Risk Factors
2.2 Genetic Algorithm and BP Neural Networks
2. Complex Network Security Evaluation Modeling based on GABP Algorithm
2.1 Improved Modeling of GABP Algorithm
2.2 Lateral Distribution Structure of the System
4. Experiment and Results
4.1 Data Processing
4.2 Analysis of Results
4.2 Comparison GABP Algorithms and Several other Models
5. Conclusions
References