Improved SVM Algorithm and its Application in Media Information Security System

Wenqian Shang, Tong Wang, Hongbin Dong
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Abstract

With the development of network, more and more broadcast television information transfers from simulation to digit, and increasingly transmits in the network. Therefore the media information security question is imminent, is a pending issue. This paper is from the perspective of intrusion detection to consider security issues. This paper adopts the technology of text classification, designing an improved SVM algorithm to identify intrusion information. The experiment results show that this method has high classification precision and efficiency.
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改进的SVM算法及其在媒体信息安全系统中的应用
随着网络的发展,越来越多的广播电视信息从模拟向数字传输,并越来越多地在网络中传输。因此,媒体信息安全问题迫在眉睫,是一个悬而未决的问题。本文是从入侵检测的角度来考虑安全问题。本文采用文本分类技术,设计了一种改进的支持向量机算法来识别入侵信息。实验结果表明,该方法具有较高的分类精度和分类效率。
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