Research And Realization Of Stock Query System Based On Private Preservation

Along with development of the security markets both here and abroad, more andmore people tend to speculate in stocks. As a result, various security analysis softwares appear. Most of the current security query soft wares haven’t realized theauthentication of server by user. For guaranteeing the safety of user information andtransaction, we need to realize the mutual authentications between server and user.Moreover, user’s query content isn’t well protected, easily exposed to the server. Theserver may invest the stock that the user concerns, as a result, the user’s proceeds willbe influenced. Therefore, protecting the user’s query privacy is very important and haspractical significance.This paper focuses on studying the privacy preservation of stock query. The majorwork includes the following two aspects:(1) By analyzing current online security trading systems, we find that there arenormally two defects existing in these systems. Firstly these systems only realize theauthentication of user, while the authentication of server hasn’t been mentioned.Secondly query privacy is exposed to the server while the user is querying.(2)We propose a scheme of querying stock based on privacy preservation. Thenew scheme realizes mutual authentication between user and server and ensures theanonymity of the user’s identity. At the same time, the user can hide his/her investingintentions from the server, keep the privacy preservation of querying and efficientlyresist the homogeneity attack and the continuous query attack.(3) Based on the privacy protection scheme of stock query, using C#languageand SQL Server, with Visual Studio2010as a development tool this paper develops astock query system. The system realizes some basic functions such as looking overstock’s real-time information. Simultaneously the scheme has been proved to havehigher security in the process of authentication and query.