移动用户隐私保护体系结构的设计与开发

R. Deshmukh, B. N. Jagdale
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摘要

如今,随着科技的发展,智能手机越来越受欢迎。智能手机能够提供多种服务,比如GPS等位置感知服务。它们将用户的所有位置信息共享给服务器。当用户向位置感知服务提交任何查询时,这些查询还包含用户的一些个人信息。然后将查询和信息提交到LBS服务器。服务器端的某些人可能会利用这些信息让用户感到恐慌。为了克服这一问题,提出了一种新的协作方法来隐藏LBS服务中的用户个人数据。LBS的攻击者可能滥用此位置信息并可能计划攻击。因此,用户隐私是一个需要解决的问题。我们通过提供一个用户不会暴露于LBS的系统来解决这个难题,也就是说,用户的身份和位置将对服务器隐藏。通过使用第三方服务器,我们将隐藏用户从服务提供商。该解决方案不涉及改变LBS服务器架构,而是采用第三方服务器来显著增加用户的位置隐私。为了增强用户的隐私性,我们将在模型中加入注册和验证系统,只有通过认证的用户才会请求查询响应。通过这个注册系统,我们将生成ID,通过用户和LBS之间的ID交互,LBS将永远不会知道用户的原始身份,并从用户位置查询被触发。这个原型有助于检查几个约束条件对用户位置隐私的影响,例如用户的查询率和上下文信息的寿命。
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Design and development of privacy preserving architecture for mobile users
Nowadays, Smartphone's are being more and more popular as technology is being evolve. Smartphone's are capable for providing numerous services, such as Location Aware services like GPS. They share all the location information of the user to the server. Whenever user submit any query to location aware service, those queries also carries some personal information about user. The query and information is then submitted of LBS server. Someone at server's side may use this information to make user panic. To overcome this, new collaborative approach to hide users personnal data from LBS serve is introduced. An Adversary at LBS may misuse this location information and may plan an attack. Hence Users privacy is a issues to be resolved. We address this difficult by offering a system where user will not be exposed to the LBS, that is users identity and location would be hidden from the server. By using Third Party server we will hide User from Service provider. The solution does involve not alter the LBS server architecture but assume third party servers to significantly increase users' location privacy. To enhance privacy of user, we will add registration and verification system to the model, so that only authenticated users would ask for query response. By this Registration system we will be generating ID's, through that ID's interaction between user and LBS would happen, by which LBS would never know use's original identity and from which user location queries are fired. This prototype helps to examine the effects of several constraints, such as querying rates of user and the lifespan of context information, on users' location privacy.
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