| 预见式网络财务系统安全形势评估方法研究 |
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| 引用本文： | 王玲.预见式网络财务系统安全形势评估方法研究[J].科技通报,2012,28(8):107-109,113. |
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| 作者姓名： | 王玲 |
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| 作者单位： | 贵州财经大学继续教育学院,贵州,550003 |
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| 摘 要： | 针对当前预测模型只能对过去和现在网络安全态势进行分析,不能对将来网络安全态势进行预测的缺陷,提出了预见式关联规则的网络安全态势预测方法。该方法能够利用当前和过去的数据对事物进行一定程度地预测,通过将其应用到网络财务系统中,并且采用小区域聚类的方法对关联规则进行一定程度地约束。通过仿真对预测方法性能进行检验。结果表明,预测方法能够准确反映网络财务系统安全形势的变化趋势,提高了系统的预测精度,相对于传统预测方法,更适用于现实的网络财务系统环境。
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| 关 键 词： | 网络财务系统 关联规则 约束预测 |
Foresee Type Network Financial System Security Situation Assessment Methods |
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| WANG Ling.Foresee Type Network Financial System Security Situation Assessment Methods[J].Bulletin of Science and Technology,2012,28(8):107-109,113. |
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| Authors: | WANG Ling |
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| Institution: | WANG Ling(Guizhou University of Finance and Economics,Guizhou 550003,China) |
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| Abstract: | Traditional prediction models can only analysis past and present network security situation,but can not predict future network security situation,this paper proposes a network security situation prediction model on support vector machine.Support vector machine can use the past and current situation of the network security,prediction the future value of network security,and parameters are optimized by genetic algorithm,accelerate prediction speed.Prediction model is tested by simulation experiments,the experimental results show that the prediction mdoel can accurately reflect the changing trends of network security,improve the prediction precision of network security situation compared with the traditional prediction method,is more suitable real network environment. |
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| Keywords: | network financial system Association rules constraint forecast |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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