论文标题
隐私保护解决方案，用于避免避免标识符交换的解决方案
A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging
论文作者
论文摘要
数字接触跟踪是与其他措施结合使用的行动之一，用于管理在后锁上阶段的流行病扩散。这是一个非常及时的问题，由于Covid-19的大流行，我们不幸的是生活。接触跟踪的应用程序旨在检测用户的接近性并根据可能的传染性评估相关风险。现有方法利用蓝牙或GPS或它们的组合，即使流行的方法基于蓝牙，并且依赖于分散的模型，需要在用户的智能手机之间相互交换短暂的标识符。不幸的是，这种解决方案中存在许多安全性和隐私问题，这主要是由于标识符的交换，而基于GPS的解决方案（固有地归为集中）可能会受到有关大规模监视的威胁。在本文中，我们提出了一个利用GP的解决方案来检测接近性，而蓝牙仅提高准确性，而无需交换标识符。与相关的现有解决方案不同，不采用复杂的加密机制，同时确保服务器对用户位置没有任何了解。
Digital contact tracing is one of the actions useful, in combination with other measures, to manage an epidemic diffusion of an infection disease in an after-lock-down phase. This is a very timely issue, due to the pandemic of COVID-19 we are unfortunately living. Apps for contact tracing aim to detect proximity of users and to evaluate the related risk in terms of possible contagious. Existing approaches leverage Bluetooth or GPS, or their combination, even though the prevailing approach is Bluetooth-based and relies on a decentralized model requiring the mutual exchange of ephemeral identifiers among users' smartphones. Unfortunately, a number of security and privacy concerns exist in this kind of solutions, mainly due to the exchange of identifiers, while GPS-based solutions (inherently centralized) may suffer from threats concerning massive surveillance. In this paper, we propose a solution leveraging GPS to detect proximity, and Bluetooth only to improve accuracy, without enabling exchange of identifiers. Unlike related existing solutions, no complex cryptographic mechanism is adopted, while ensuring that the server does not learn anything about locations of users.
