一种基于信息流的社交网络安全本体模型

社交网站作为互联网的新兴应用，近年来发展迅速。以Facebook和人人网为代表的社交网站现在已经拥有数以百万计的活动用户，创造了一种新的生活方式。但是社交网络快速发展的同时也带来了新的安全问题，如垃圾信息、隐私泄露、身份盗用等。文中尝试用本体来描述社交网络中的信息流动，并提供一个能够识别垃圾信息发送者的自动化解决方案。

A Social Network Security Ontology Model Incorporating Information Flow

Social network, for its rapid development these years, becomes a new trend for the Internet. At this moment hundreds of millions of users use social networking websites represented by Facebook and Renren. However, rapid growth of SNS also brings such new information security problems as SNS spam, privacy violation and identity theft. Here the information flow in SNS is modeled by using ontology, and an automatic solution for recognizing SNS spam thus provided.