基于神经网络的网络病毒预测研究
毕业论文关键词： BP神经网络；网络病毒传播；网络病毒预测模型；主成分分析法；
Research on network virus prediction based on Neural Network
Abstract Nowadays, becoming an information based society development faster and faster, the network has become a more and more people work and an essential part of life. However, on the network system and a mobile phone application in convenient people's life at the same time, also brought more and more of the information security problem. The article by using the BP neural network is introduced, prediction of network virus propagation characteristics and laws. The BP neural network algorithm for all aspects of the study is very broad, and established in accordance with the actual situation of forecasting model, simulation effect is very good. Process of BP neural network to simulate the spread of the virus at the same time, the forecast effect has a realistic significance. But many engineering scholars have separate biological viruses and computer virus, they think it has the bigger of the two different between two kinds of virus, and mathematicians don't think so, they will network viruses and biological viruses use the same method to study together. According to the characteristics of the computer network, referring the biological virus has implemented the BP neural network prediction model to explore the changing trend of the computer network virus, draw the prediction model, provide the basis for further prevention and control strategy network virus.
Key Words: BP neural network; network virus transmission; network virus prediction model; principal component analysis;
目录
摘要-Ⅰ
Abstract-Ⅱ
目录-Ⅲ
图清单-Ⅴ
表清单-Ⅴ
1绪论..1
1.1课题背景及研究意义..1
1.2.1国外研究现状..2
1.2.2国内研究现状..3
1.2.3国内外研究现状分析.3
1.3课题研究主要内容.4
1.4研究方向及方法4
1.5本章小结4
2基于神经网络的网络病毒预测模型.6
2.1网络病毒传播模型.6
2.1.1病毒预测方法..6
2.1.2网络病毒传播特性.6
2.2神经网络原理..7
2.2.1神经网络原理..7
2.2.2BP神经网络的发展7
2.3基于BP神经网络的网络病毒感染数预测模型..8
2.4本章小结8
3主成分网络病毒预测模型.9
3.1主成分分析基本概念..9
3.1.1基本概念及其意义..9
3.1.2基本原理.9
3.3本章小结..11
4网络病毒预测模型的建立12
4.1前期准备..12
4.1.1MATLAB编程软件..12
4.1.2数据来源..12