| 基于数据挖掘的传媒信息安全系统 |
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| 引用本文： | 尚文倩,;董红斌.基于数据挖掘的传媒信息安全系统[J].北方交通大学学报,2009(5):109-111. |
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| 作者姓名： | 尚文倩 ;董红斌 |
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| 作者单位： | [1]中国传媒大学计算机学院,北京100024; [2]哈尔滨工程大学计算机科学与技术学院,哈尔滨150001 |
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| 基金项目： | 中国传媒大学“211工程”三期重点学科建设项目（21103050121）;黑龙江省教育厅海外学人合作资助项目（1153h21） |
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| 摘 要： | 随着网络的发展，越来越多的广播电视信息由模拟转为数字，传媒信息安全问题迫在眉睫，是亟待解决的问题．本文采用文本分类技术，设计了一种新的文本分类模型，并应用该传媒信息安全系统，从而减少系统的误报率和漏报率，实验结果表明，该算法具有较高的分类精度和效率．
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| 关 键 词： | 传媒信息安全 入侵检测 文本分类 支持向量机 |
Research of Media Information Security System Based on Data Mining |
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| Institution: | SHANG Wenqian, DONG Hongbin (1. School of Computer, Communication University of China, Beijing 100024,China; 2. College of Computer Science and Technical, Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | With the development of network, more and more broadcast television information transfers from analog to digital, and increasingly transmits in the network. Therefore the media information security is a pressing issue. The technology of text classification was used in design of a new text classification model in this paper, and this model was used in the media information security system. This method can reduce the false alarm rate and missing report rate. The experiment results shown that this method has high classification precision and efficiency. |
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| Keywords: | media information security intrusion detection text classification support vector machine（ SVM） |
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