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Sensitivity analysis and countermeasures for transformation-based location obfuscation

机译：基于变换的位置混淆的敏感性分析及对策

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Development of location privacy protection mechanisms is one of the most important concerns in existing and future location-based information systems, due to the important value that users' locations have for ill-intentioned organizations that could break in and obtain this data. Transformation-based location obfuscation techniques are one of the best techniques available because they substantially alter the location of the user, without revealing the whereabouts of the routes, while being completely reversible. One example of this is the Matlock technique. Even though it has been proven that theoretically it can be reversed by solving a linear system, it is not clear to what extent one can feasibly obtain the original route or enough information to recreate it. This work performs an analysis on how sensitive Matlock really is to reverse engineering and how some countermeasures can decrease the accuracy of the estimations from a third party. The use of noise-based obfuscation is shown to be a useful tool to reduce the accuracy of the obfuscation matrix estimation.
机译：位置隐私保护机制的开发是现有和将来基于位置的信息系统中最重要的问题之一，因为用户位置对于意图不善的组织可能会侵入并获取此数据具有重要的价值。基于转换的位置混淆技术是可用的最佳技术之一，因为它们可以在完全可逆的情况下极大地改变用户的位置，而无需透露路线的下落。 Matlock技术就是一个例子。即使已经证明在理论上可以通过求解线性系统将其反转，但尚不清楚人们可以在多大程度上可行地获得原始路线或足够的信息来重新创建它。这项工作分析了Matlock真正对逆向工程有多敏感，以及一些对策如何降低第三方估算的准确性。事实证明，使用基于噪声的混淆是降低混淆矩阵估计准确性的有用工具。

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