| 基于数据挖掘技术的网络安全事件预测研究 |
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| 引用本文： | 陆科达,万励,吴洁明.基于数据挖掘技术的网络安全事件预测研究[J].科技通报,2012,28(6):37-39. |
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| 作者姓名： | 陆科达 万励 吴洁明 |
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| 作者单位： | 梧州学院计算机科学系,广西梧州,543002 |
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| 摘 要： | 提出一种数据挖掘技术的网络安全事件预测模型。首先对网络安全事件混沌性进行分析,然后对其进行相空间重构,恢复网络安全事件变化轨迹,第三采用数据挖掘算法对其进行预测。仿真结果表明,该方法提高了网络安全事件预测精度;解决了传统预测模型难以对混沌特征进行准确分析难题;对网络安全风险预防具有重要参考价值。
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| 关 键 词： | 数据挖掘 网络 安全事件 预测 |
The Study on Network Security Incidents Prediction Based on Data Mining |
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| LU Keda
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WAN Li
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WU Jieming.The Study on Network Security Incidents Prediction Based on Data Mining[J].Bulletin of Science and Technology,2012,28(6):37-39. |
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| Authors: | LU Keda WAN Li WU Jieming |
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| Institution: | (Department of Computer Science,Wuzhou University,Wuzhou 543002,China) |
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| Abstract: | put forward a kind of data mining technology in the network security event prediction model.The network security event chaos analysis,then the period of phase space reconstruction,restoration of network security event track changes,and then uses the data mining algorithms to make predictions.The simulation results show that,the method to enhance the network security event prediction accuracy,to solve the traditional prediction model of chaotic characteristics to accurately analyze problems,to the network security risk prevention is of great reference value. |
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| Keywords: | data mining network security incidents prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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