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The Improvement of Transductive Support Vector Machine and its Application to Network Intrusion Detection

机译:转换支持向量机的改进及其在网络入侵检测中的应用

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摘要

-The study on Transductive Support Vector Machine (TSVM) has made little progress since Vapnik put forth the concept in the late 1990s,as algorithm for TSVM optimization model can not be easily found. Here we try to transform the problem of TSVM optimization into an unconstrained one before constructing the smooth unconstrained optimization that has a kernel, and on the basis of which to devise a TSVM whose optimization problem is easier to solve to break through the bottleneck in order to deepen the research into TSVM and apply TSVM to network intrusion detection therefore provide a new method for it.
机译:-自1990年代后期Vapnik提出该概念以来,对过渡型支持向量机(TSVM)的研究进展甚微,因为无法轻易找到TSVM优化模型的算法。在构建具有内核的平滑无约束优化之前,我们尝试将TSVM优化问题转化为无约束问题,并在此基础上设计出更易于解决突破瓶颈的TSVM,从而深化对TSVM的研究,并将TSVM应用于网络入侵检测,为此提供了一种新的方法。

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