Research On The Identification Authentication And Security System For E-Commerce

As the main trend for business, E-commerce has got a very profound impact on global economics. Thus the security of E-commerce becomes more and more important. Being the first protective defense, identification authentication is crucial for establishing an on-line trusting mechanism. How to discriminate the real identity for both sides of trade is most essential link as well as the weakest link of E-commerce.So far, we have adopted two main methods which are based on secret code and safe carriers, among those the combination for both above technologies become dominant which greatly increase the security for E-commerce. However, there are still some problems such as difficult memory and easily decoding needed to be tackled. Consequently, more reliable and convenient identification authentication, which based on biological feather, draws people's much attention. Because of the feature such as more acceptable and more convenient that face recognition has, identification authentication based on face discrimination become hottest topic that being researched recently.By comparing all the popular security technologies and systems, analyzing all the current identification authentication schemes based on E-commerce' theories and technologies, this paper specifically describes the advantages of identification authentication built on biological feather. Moreover the complete combination of algorithms for face recognition are proposed and finally are applied into a realistic model of on-line bookstore security system. The major work of this paper lies in multi-step face examinations method based on temple-match and fuzzy support vector machine and face discrimination based on fuzzy linear discrimination analysis in terms of face recognition for identification authentication, which is effectively applied into E-commerce model. Stability and accuracy of identification were dramatically improved as showed in the experiments.Finally, this paper designed a model for on-line bookstore where the face recognition technology was applied. Meanwhile, More efficient and reliable change for SET's workflow is made in order to avoid the potential threat of leaking private bank information owing to dual-signature's defect. That is the customs can contact the bank they trust directly rather than give their private information to businessman, which possibly lead to leaking information. The security system was improved because of this adjustment, which benefits both customers and salesmen, as well as saves time and streamlines process.