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On Constant-Time-Identification and Privacy-Preserving RFID Protocols: Trade-Off between Time and Memory

机译:关于恒定时间识别和保护隐私的RFID协议:时间和内存之间的权衡

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We study hash-based identification protocols in RFID systems which obtain privacy against active adversaries who can perform compromised attacks. Here, an active adversary can track a tag via successful or unsuccessful identifications with legal or illegal readers. In IEEE Transactions on Parallel and Distributed Systems, Alomair, Clark, Cuellar and Poovendran propose a novel hash-based RFID identification protocol called constant-time-identification protocol (CTI). Their protocol is provably against active adversaries who can perform compromise attack. However, in order to obtain high privacy in their protocol, the database in CTI is required to have quite large memory space. In this work, we try to reduce the memory complexity of the database in CTI while preserving the same level of privacy. We discover that there is a large gap between tag's identification time and tag's response time in the protocol CTI. We trade-off tag identification time for the sake of reducing the memory space. By using the well-known time-memory-trade-off techniques, we can obtain this goal. With a performance analysis, we show that the memory space of our modified protocol can be reduced by a factor t compared to that of CTI where the number of hash operations for one tag's identification is O(t^2). Via a case study, we show that our modified protocol is able to save about 89% fraction of memory space of CTI in some practical setting of RFID systems while increasing the tag identification time.
机译:我们研究了RFID系统中基于散列的识别协议,该协议可针对可能执行受到攻击的主动对手获取隐私。在这里,积极的对手可以通过与合法或非法读者的成功或失败识别来跟踪标签。在IEEE并行和分布式系统事务中,Alomair,Clark,Cuellar和Poovendran提出了一种新颖的基于哈希的RFID识别协议,称为恒定时间识别协议(CTI)。他们的协议可证明是针对可以进行折衷攻击的活跃对手。但是,为了在其协议中获得较高的保密性,要求CTI中的数据库具有相当大的存储空间。在这项工作中,我们尝试降低CTI中数据库的内存复杂性,同时保留相同级别的隐私。我们发现在协议CTI中,标签的识别时间和标签的响应时间之间存在很大的差距。为了减少存储空间,我们需要权衡标签识别时间。通过使用众所周知的时间记忆权衡技术,我们可以实现此目标。通过性能分析,我们表明,与CTI相比,修改后的协议的存储空间可以减少一个因子t,而CTI的一个标签识别的哈希运算次数为O(t ^ 2)。通过案例研究,我们表明,在某些实际的RFID系统设置中,我们改进的协议能够节省约89%的CTI存储空间,同时增加标签识别时间。

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