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Method of Intrusion Detection System Based on SVM

机译:基于支持向量机的入侵检测系统方法

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In this paper, we introduced the SVM theory and the classify tool involving to our researching system, established an intrusion detection model based on SVM and system calls of host. In the stage of designing intrusion detection system, we chose the system call sequences of live named processes, which can be downloaded from University of New Mexico web site, to be our train and detect samples. In the stage of implementing the system, we made use of great function of shell smartly to achieve all system call short sequences of named processes, and transferred the format of named processes and detected, analyzed them. This paper successfully engineered the IDS aiming to privilege process, and had good performance.
机译:本文将支持向量机的理论和分类工具引入到研究系统中,建立了基于支持向量机和主机系统调用的入侵检测模型。在设计入侵检测系统的阶段,我们选择了实时命名流程的系统调用序列(可以从新墨西哥大学网站下载)作为我们的训练和检测样本。在系统实现阶段,我们巧妙地利用了Shell的强大功能,实现了命名进程的所有系统调用短序列,并传输了命名进程的格式并进行了检测,分析。本文成功设计了针对特权过程的IDS,并具有良好的性能。

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