基于数据挖掘
<a name="_Toc466325375"><span style="font-size:12.0pt;
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mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language:
ZH-CN;mso-bidi-language:AR-SA">基于数据挖掘的网络入侵检测关键技术研究</span></a>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">特征降维--</span><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于簇中心距离和的特征提取方法</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">样本约简--</span><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于类中心的分层样本约简方法</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">离群点挖掘--</span><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于簇中心位置变化的异常检测方法</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">混合入侵检测模型--</span><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">包含两个异常检测模块和一个误用检测模块</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于数据挖掘的自适应入侵检测建模研究</span>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">无监督自学习机制；</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">划分聚类技术；</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">关联规则</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">挖掘和频繁序列模式挖掘技术</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">面向混合类型数据的快速启发式聚类算法</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于属性约束的模糊规则挖掘算法</span></b>
基于特征分析
<a name="_Toc466325378"><span style="font-size:12.0pt;
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ZH-CN;mso-bidi-language:AR-SA">基于特征选择的轻量级入侵检测系统</span></a>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">消除冗余和噪音特征</span>
<a name="_Toc466325379"><span style="font-size:12.0pt;
mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:"Times New Roman";
mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language:
ZH-CN;mso-bidi-language:AR-SA">基于改进非广延熵特征提取的双随机森林实时入侵检测方法</span></a>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">非广延熵，特征提取</span>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">双随机森林</span>
<a name="_Toc466325380"><span style="font-size:12.0pt;
mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:"Times New Roman";
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ZH-CN;mso-bidi-language:AR-SA">基于统计特征的网络入侵检测巧术研究</span></a>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">统计特征筛选算法--</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">统计特征 相对熵算法</span></b>
支持向量机
初步过滤：<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于字段规则匹配的深度包检测技术</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">细粒度检测：</span><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于统计特征的流量识别技术</span></b>
<a name="_Toc466325381"><span style="font-size:12.0pt;
mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:"Times New Roman";
mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language:
ZH-CN;mso-bidi-language:AR-SA">基于规则库的应用流量分类引擎的研究</span></a>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">协议规则描述语言</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于决策树的快速应用流量分类算法</span></b>
<a name="_Toc466325382"><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">一种基于特征选择的入侵检测方法</span></a>
<span lang="EN-US" style="font-size:12.0pt;mso-bidi-font-size:<br>11.0pt;font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:<br>minor-bidi;mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:<br>AR-SA">Fisher</span><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">特征选择 </span><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">ＫＮＮ分类方法</span>
基于机器学习
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">机器学习方法在入侵检测中的应用研究</span>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">特征选择方法降低特征维度：</span></b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA"> <b><span lang="EN-US">KNN </span>和<span lang="EN-US"> SVM </span>结合的包裹式特征选择方法</b></span>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">提高检测准确率：</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">粒子群优化人工神经网络--</span></b><b><span lang="EN-US" style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;<br>mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">PSO<br></span><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:<br>宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">优化的<span lang="EN-US"> RBF </span>神经网络算法</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">误报消除：</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">聚类分析</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于增量式
<span lang="EN-US">GHSOM</span>神经网络模型的入侵检测研究</span>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">增量式<span lang="EN-US">GHSOM</span>神经网络模型</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">增量式学习 </span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">动态扩展</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA"> </span></b>
基于DPI
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">论基于<span lang="EN-US"> DPI </span>技术的用户行为分析系统</span>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">用户行为分析系统</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">用户行为识别模型：利用SVM算法分类</span></b>
<b><span lang="EN-US" style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;<br>mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">HTTP</span><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:<br>宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;<br>mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">包</span></b><span style="font-weight: bold; font-size: 12pt; font-family: 宋体;">深层次分析</span>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">基于深度包检测技术入侵检测系统设计与实现</span>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">协议分析</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">分布式入侵检测</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">模式匹配</span></b>
<span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;
font-family:宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">面向深度数据包检测的正则表达式匹配算法研究</span>
子主题
<b><span lang="EN-US" style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;
mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">RALE
</span><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:
宋体;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;
mso-ansi-language:EN-US;mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">算法进一步压缩，位图加快匹配</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">计数自动机；</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">跳跃计数自动机</span></b>
<b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:<br>"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;<br>mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">目的：存储空间开销的压缩；</span></b><b><span style="font-size:12.0pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-bidi-font-family:
"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;
mso-fareast-language:ZH-CN;mso-bidi-language:AR-SA">匹配速度的时间效率的提高</span></b>
