Research And Implementation Of Web Abnormal Events Detection Tool Based On Analysis Of User Behaviour

With the popularity of Internet, people’s work, life and is closely related to the various Web services. And the social network, is the combination of network and social contact. It connects people to form some groups which have a particular characteristic through the Web.As a social exchange-information platform, social network allows the user communicate and exchange information in this platform. But along with the rapid development of Renren, micro-blog and other social network sites, fraud, deception fishing and click advertising on social network are rapidly arising. This paper implements a tool which can detect these abnormal events.This paper analyses the and potential safety problems of social network, introduces how to the technology of use behavior’s analysis to detect the abnormal events in social network, and finally implements the anomaly detection tool in Eclipse+resin+MySQL development environment based on web crawler technology, data mining and modeling technology.