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Still and Silent: Motion Detection for Enhanced RFID Security and Privacy without Changing the Usage Model

机译:安静,无声:运动检测可增强RFID安全性和隐私性,而无需更改使用模型

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Personal RFID devices - found, e.g., in access cards and contactless credit cards - are vulnerable to unauthorized reading, owner tracking and different types of relay attacks. We observe that accessing a personal RFID device fundamentally requires moving it in some manner (e.g., swiping an RFID access card in front of a reader). Determining whether or not the device is in motion can therefore provide enhanced security and privacy; the device will respond only when it is in motion, instead of doing so promiscuously. We investigate extending the concept of min-entropy from the realm of random number generation to achieve motion detection on an RFID device equipped with an accelerometer. Our approach is quite simple and well-suited for use on low-cost devices because the min-entropy of an accelerometer's distribution can be effi-ciently approximated. As opposed to alternative methods, our approach does not require any changes to the usage model expected of personal RFID devices.
机译:例如在访问卡和非接触式信用卡中找到的个人RFID设备容易受到未经授权的读取,所有者跟踪和不同类型的中继攻击的攻击。我们观察到,访问个人RFID设备从根本上要求以某种方式移动它(例如,在读取器前面刷RFID访问卡)。因此,确定设备是否在运动中可以提高安全性和隐私性。设备仅在运动时才响应,而不是随意地响应。我们研究了将最小熵的概念从随机数生成领域扩展到在配备加速度计的RFID设备上实现运动检测。我们的方法非常简单,非常适合在低成本设备上使用,因为可以有效地估算加速度计分布的最小熵。与替代方法相反,我们的方法不需要对个人RFID设备的预期使用模型进行任何更改。

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