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The design of graph-based privacy protection mechanisms for mobile systems

机译:基于图的移动系统隐私保护机制的设计

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In the range of mobile privacy, there are many attack methods which can reveal the user’s private information. The attacker can use the communication between applications to violate permissions and access the private information without the user’s authorization. Therefore, many researchers focus on privilege escalation. However, the attacker can increase their knowledge about the user without achieving privilege escalation through various inference techniques. For this reason, we extend the concept of privilege escalation attack to a more general information escalation attack, and propose a privacy protection mechanism based on the inference-graph.
机译:在移动隐私的范围内,有许多攻击方法可以泄露用户的私人信息。攻击者可以使用应用程序之间的通信来违反权限,并在未经用户授权的情况下访问私人信息。因此,许多研究人员关注特权升级。但是,攻击者可以通过各种推理技术来增加他们对用户的了解,而无需实现特权提升。因此,我们将特权升级攻击的概念扩展到了更通用的信息升级攻击,并提出了一种基于推理图的隐私保护机制。

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