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Unreconciled Collisions Uncover Cloning Attacks in Anonymous RFID Systems

机译:未调和的冲突揭示了匿名RFID系统中的克隆攻击

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摘要

Cloning attacks threaten radio-frequency identification (RFID) applications but are hard to prevent. Existing cloning attack detection methods are enslaved to the knowledge of tag identifiers (IDs). Tag IDs, however, should be protected to enable and secure privacy-sensitive applications in anonymous RFID systems. In a first step, this paper tackles cloning attack detection in anonymous RFID systems without requiring tag IDs as a priori. To this end, we leverage unreconciled collisions to uncover cloning attacks. An unreconciled collision is probably due to responses from multiple tags with the same ID, exactly the evidence of cloning attacks. This insight inspires GREAT, our pioneer protocol for cloning attack detection in anonymous RFID systems. We evaluate the performance of GREAT through theoretical analysis and extensive simulations. The results show that GREAT can detect cloning attacks in anonymous RFID systems fairly fast with required accuracy. For example, when only six out of 50,000 tags are cloned, GREAT can detect the cloning attack in 75.5 s with a probability of at least 0.99.
机译:克隆攻击威胁着射频识别(RFID)应用,但很难阻止。现有的克隆攻击检测方法被奴役到标签标识符(ID)的知识上。但是,应保护标签ID,以启用和保护匿名RFID系统中对隐私敏感的应用程序。第一步,本文将解决匿名RFID系统中的克隆攻击检测问题,而不需要先验标签ID。为此,我们利用未协调的冲突来发现克隆攻击。无法协调的冲突可能是由于来自具有相同ID的多个标签的响应所致,正是克隆攻击的证据。这一见识激发了GREAT,这是我们在匿名RFID系统中克隆攻击检测的先驱协议。我们通过理论分析和广泛的仿真评估GREAT的性能。结果表明,GREAT可以以所需的精度相当快地检测匿名RFID系统中的克隆攻击。例如,当克隆50,000个标签中只有六个时,GREAT可以在75.5 s内检测到克隆攻击,概率至少为0.99。

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