Reasoning-based Data Protection Technology Of E-commerce Privacy

The development of the Electronic commerce affects the people’s life greatly, at the same time, the technologies of the Electronic commerce are becoming key topics. Recently, the accidents of leakage of the users’privacy is increasing. When shopping on the Internet and doing transaction of Electronic Commerce, people will browse or submit some information, some of the information is privacy, and some information can be used to inference the privacy information. So, how to protect the users’privacy when doing transaction of Electronic Commerce is a hot issue recently.This paper will research the way to protect privacy information from leaking in Electronic commerce, and will propose a schema to protect users’privacy information using the inference and anonymous. The main contents are as follows:(1) The security of electronic commerce is introduced. At the same time, the reason of information leakage is analyzed. Secondly, the inference technology is analyzed and the application of inference technology in privacy protecting is introduced. The character of electronic commerce trade is gotten by analyzing the character of data in electronic commerce trade.(2) Based on anonymous technology, the common way of protecting the privacy data and character of privacy data is analyzed. We introduced the information item by analyzing the anonymous. The paper analyzed the relations among the information items in electronic commerce, especially the relations between privacy information items and the common information items, base on it, a schema of protecting the privacy information using the inference and anonymous is proposed, the schema anonymizes the privacy information items and the information items which can course the information leakage.(3) We realized a platform for electronic commerce trade, the schema of privacy protecting is applied on the platform, at the same time, the information loss is analyzed.(4) The schema can protect the users’privacy information of Electronic Commerce transaction is proved by the experiment, the schema is better than the way that has been proposed when protecting the privacy information that hidden in normal information. This way may cause some information loss, but in the case of large information, the effect of the loss can be ignored. These achievements also have a positive significance for the privacy protecting in electronic commerce trading.