Su Gui-yang, Li Jian-hua, Ma Ying-hua, Li Sheng-hong
Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, China.
J Zhejiang Univ Sci. 2004 Sep;5(9):1106-13. doi: 10.1631/jzus.2004.1106.
With the flooding of pornographic information on the Internet, how to keep people away from that offensive information is becoming one of the most important research areas in network information security. Some applications which can block or filter such information are used. Approaches in those systems can be roughly classified into two kinds: metadata based and content based. With the development of distributed technologies, content based filtering technologies will play a more and more important role in filtering systems. Keyword matching is a content based method used widely in harmful text filtering. Experiments to evaluate the recall and precision of the method showed that the precision of the method is not satisfactory, though the recall of the method is rather high. According to the results, a new pornographic text filtering model based on reconfirming is put forward. Experiments showed that the model is practical, has less loss of recall than the single keyword matching method, and has higher precision.
随着互联网上色情信息的泛滥，如何让人们远离那些令人反感的信息正成为网络信息安全领域最重要的研究方向之一。人们使用了一些能够屏蔽或过滤此类信息的应用程序。这些系统中的方法大致可分为两类：基于元数据的和基于内容的。随着分布式技术的发展，基于内容的过滤技术在过滤系统中将发挥越来越重要的作用。关键词匹配是一种在有害文本过滤中广泛使用的基于内容的方法。评估该方法召回率和精确率的实验表明，尽管该方法的召回率相当高，但其精确率却不尽人意。根据实验结果，提出了一种基于再确认的色情文本过滤新模型。实验表明，该模型切实可行，与单关键词匹配方法相比召回率损失较小，且精确率更高。
