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Policy-Based Customized Privacy Preserving Mechanism for SaaS Applications

机译:基于策略的SaaS应用程序定制隐私保护机制

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In the SaaS (Software as a Service) model, the sensitive data of tenants are in danger of leakage. Meanwhile there are different privacy requirements for different tenants. This paper presents a policy based customized privacy preserving mechanism which realizes the preserving of tenants' sensitive data. Based on the requirements of the tenants and the transactions of SaaS application, we build the policy of tenants' customized privacy preserving and fragment tenants' sensitive data through the Related Attributes Model(RAM). Finally we realize the effective combination of unencrypted privacy preserving and SaaS application's transaction. To avoid the leakage of tenants' privacy policy, this paper presents a trusted third party model to manage the policy of tenants' customized privacy preserving. The experiment certified it's an effective and practical privacy preserving mechanism.
机译:在SaaS(软件即服务)模型中,租户的敏感数据有泄漏的危险。同时,对于不同的租户有不同的隐私要求。本文提出了一种基于策略的定制隐私保护机制,可以实现对租户敏感数据的保护。根据租户的需求和SaaS应用程序的交易,我们建立了租户的自定义隐私保护策略,并通过相关属性模型(RAM)分割了租户的敏感数据。最终,我们实现了未加密隐私保护与SaaS应用程序交易的有效结合。为了避免租户隐私策略的泄露,本文提出了一种可信任的第三方模型来管理租户的自定义隐私保护策略。实验证明这是一种有效且实用的隐私保护机制。

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