摘要
研究比较了文本检索与安全过滤的异同,以文本过滤为手段,借鉴文本检索的一些方法,在安全过滤环境中,正例文本和反例文本的特征向量非常相似的情况下,提出了一种有效的算法,过滤掉会对社会造成危害的非法网页。
This article researched the similarities and differences between text retrieval and security filtering first, put forward a general model of content based security filtering. In the case that characteristic vectors in positive examples and negative examples were very similar, we set up an effective algorithm to filter out illegal website which would harm to our society.
出处
《计算机安全》
2009年第5期4-6,共3页
Network & Computer Security
关键词
文本过滤
安全过滤
信息增益
贝叶斯分类
Context Filtering, Security Filtering, Informstion Gain,Bayes classification