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ACD: An Adaptable Approach for RFID Cloning Attack Detection

机译:ACD:一种适用于RFID克隆攻击检测的方法

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摘要

With the rapid development of the internet of things, radio frequency identification (RFID) technology plays an important role in various fields. However, RFID systems are vulnerable to cloning attacks. This is the fabrication of one or more replicas of a genuine tag, which behave exactly as a genuine tag and fool the reader to gain legal authorization, leading to potential financial loss or reputation damage. Many advanced solutions have been proposed to combat cloning attacks, but they require extra hardware resources, or they cannot detect a clone tag in time. In this article, we make a fresh attempt to counterattack tag cloning based on spatiotemporal collisions. We propose adaptable clone detection (ACD), which can intuitively and accurately display the positions of abnormal tags in real time. It uses commercial off-the-shelf (COTS) RFID devices without extra hardware resources. We evaluate its performance in practice, and the results confirm its success at detecting cloning attacks. The average accuracy can reach 98.7%, and the recall rate can reach 96%. Extensive experiments show that it can adapt to a variety of RFID application scenarios.
机译:随着物联网的飞速发展,射频识别(RFID)技术在各个领域都发挥着重要作用。但是,RFID系统容易受到克隆攻击。这是一个或多个真实标签的复制品的制造,它们的行为与真实标签完全相同,并欺骗读者以获取法律授权,从而导致潜在的财务损失或声誉损失。已经提出了许多高级解决方案来对抗克隆攻击,但是它们需要额外的硬件资源,否则它们将无法及时检测到克隆标签。在本文中,我们尝试基于时空冲突对标签克隆进行反攻。我们提出了自适应克隆检测(ACD),它可以直观,准确地实时显示异常标签的位置。它使用现成的商用(COTS)RFID设备,而无需额外的硬件资源。我们在实践中评估其性能,结果证实了其在检测克隆攻击方面的成功。平均准确率可以达到98.7%,召回率可以达到96%。大量的实验表明,它可以适应各种RFID应用场景。

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