School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China.
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China.
Sensors (Basel). 2020 Apr 22;20(8):2378. doi: 10.3390/s20082378.
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.
随着物联网的快速发展,射频识别(RFID)技术在各个领域中发挥着重要作用。然而,RFID 系统容易受到克隆攻击。克隆攻击是指伪造一个或多个真实标签的副本,这些副本的行为与真实标签完全相同,从而欺骗读写器获取合法授权,导致潜在的财务损失或声誉损害。已经提出了许多先进的解决方案来对抗克隆攻击,但它们需要额外的硬件资源,或者无法及时检测到克隆标签。在本文中,我们基于时空碰撞对标签克隆进行了新的反击尝试。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。它使用商用现成(COTS)RFID 设备,无需额外的硬件资源。我们在实践中评估了它的性能,结果证实它可以成功检测克隆攻击。平均准确率可达 98.7%,召回率可达 96%。广泛的实验表明,它可以适应各种 RFID 应用场景。