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Research On Cause And Mechanism Of Web Client's Privacy Leakage

Posted on:2018-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:X Q WangFull Text:PDF
GTID:2348330563452270Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Web client provided users with a variety of diversified,functional Web services that greatly facilitate people's lives and work.However,due to the openness of the network and the imperfections of various Web services mechanisms,there exists the risks that user privacy may be leaked.Malicious attackers can utilize all kinds of web attack to steal the privacy of users,which makes it tricky to keep the security of users' privacy.Focus on the researches and explores of user tracking technology that cause the user privacy leak,and study on the reasons that cause the user privacy leakage in the web client,we analysis the security risks that exist on the nowadays user tracking mechanism.We propose and build the privacy stealing model,restore the mechanism that the privacy is leaked,and achieve some key technologies in our model.Based on the fact that browser fingerprint has the feature of uniqueness and stability,and the characteristic of the present user tracking technology,we propose a kind of browser fingerprint based on multi recognition technology.We obtain and detect the browser's features using the JavaScript language and HTML5 API,and the terminal's characteristics information that the browser based on to enhance the stability of the browser fingerprint,also including the existing tracking technology to the fingerprint,which can provide much more effectiveness and accuracy to identify the fingerprint for the subsequent fingerprint tracking.Based on the fact that the user's tracking mechanism is the main reason of user privacy disclosure,we propose and construct the browser fingerprint tracking model.We use the analytic hierarchy process(AHP)to determine the weight of the browser features,and put forward the fingerprint tracking algorithm.Calculate the corresponding threshold through the directional tests,to correlate and analysis the unstable browser fingerprints,and improve the efficiency of fingerprint recognition using pre-filtering method,finally obtain the implementation of model through the browser fingerprint.Though the study on the mechanism of users' privacy disclosure and the design of the tracking model based on browser fingerprint,we implement the system of the tracking model.We build the user tracking platform based on browser fingerprint,and associate the fingerprints using the browser fingerprint tracking algorithm in the web server,finally we display the browser fingerprint information and the associated results though the monitor platform.The whole system achieves the whole process of the acquisition,collection and the similarity analysis of user's browser fingerprint,with the visualization of user's information.
Keywords/Search Tags:privacy disclosure, browser fingerprint, AHP, similarity analysis
PDF Full Text Request
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