Secure UHF RFID Authentication With Smart Devices

Secure UHF RFID Authentication With Smart Devices
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DOI:
10.1109/twc.2022.3226753
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发表时间:
2023-07
影响因子:
10.4
通讯作者:
Ang Li;Jiawei Li;Yan Zhang;Dianqi Han;Tao Li;Yanchao Zhang
Ang Li;Jiawei Li;Yan Zhang;Dianqi Han;Tao Li;Yanchao Zhang
中科院分区:
计算机科学1区
文献类型:
--
作者:
Ang Li;Jiawei Li;Yan Zhang;Dianqi Han;Tao Li;Yanchao Zhang

文献摘要

相似文献

商品超高频(UHF)RFID认证系统只能提供弱用户认证,因为RFID标签很容易被盗,丢失或被攻击者克隆。本文介绍了SmartRFID的设计和评估,一种新的UHF RFID认证系统,以促进商品加密的UHF RFID标签的安全敏感的应用。SmartRFID探索非常流行的智能设备,并要求合法用户注册他的智能设备沿着他的RFID标签。除了像往常一样验证RFID标签外,SmartRFID还可以通过基于特征的机器学习和深度学习技术来验证用户是否同时拥有相关的智能设备。当且仅当通过双重验证时,用户才被认为是真实的。在商品智能手表和RFID设备上进行的全面用户实验证实了SmartRFID的高安全性和可用性。特别是,SmartRFID基于深度学习实现了97.5%以上的真实接受率和小于0.7%的错误接受率。此外,SmartRFID可以实现小于2.21秒的平均认证延迟,这与在门键盘或智能手机上输入PIN相当。
Commodity ultra-high-frequency (UHF) RFID authentication systems only provide weak user authentication, as RFID tags can be easily stolen, lost, or cloned by attackers. This paper presents the design and evaluation of SmartRFID, a novel UHF RFID authentication system to promote commodity crypto-less UHF RFID tags for security-sensitive applications. SmartRFID explores extremely popular smart devices and requires a legitimate user to enroll his smart device along with his RFID tag. Besides authenticating the RFID tag as usual, SmartRFID verifies whether the user simultaneously possesses the associated smart device with both feature-based machine learning and deep learning techniques. The user is considered authentic if and only if passing the dual verifications. Comprehensive user experiments on commodity smartwatches and RFID devices confirmed the high security and usability of SmartRFID. In particular, SmartRFID achieves a true acceptance rate of above 97.5% and a false acceptance rate of less than 0.7% based on deep learning. In addition, SmartRFID can achieve an average authentication latency of less than 2.21 s, which is comparable to inputting a PIN on a door keypad or smartphone.