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Data remanence effects on memory-based entropy collection for RFID systems

机译:数据剩余性对RFID系统基于存储的熵收集的影响

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摘要

Random number generation is a fundamental security primitive. This relatively simple requirement is beyond the capacity of passive RFID (radio frequency identification) tags, however. A recent proposal, fingerprint extraction and random number generation in SRAM (FERNS), uses onboard RAM as a randomness source. Unfortunately, practical considerations prevent this approach from reaching its full potential. First, the amount of RAM available for utilization as a randomness generator may be severely restricted due to competition with other system functionalities. Second, RAM is subject to data remanence; there is a period after losing power during which stored data remains intact in memory. Thus, after memory has been used for entropy collection once it will require time without power before it can be reused. This may lead to unacceptable delays in a usable security application. In this paper, the practical considerations that must be taken into account when using RAM as an entropy source are demonstrated. The implementation of a true random number generator on Intel's WISP (wireless identification and sensing platform) RFID tag is also presented, which is the first to the authors' best knowledge. By relating this to the requirements of some popular RFID authentication protocols, the practicality of utilizing memory-based randomness techniques on resource-constrained devices is assessed.
机译:随机数生成是基本的安全原语。但是,这种相对简单的要求超出了无源RFID(射频识别)标签的能力。最近的一项提议,即SRAM(FERNS)中的指纹提取和随机数生成,使用板载RAM作为随机性源。不幸的是,出于实际考虑,这种方法无法发挥其全部潜力。首先,由于与其他系统功能的竞争,可能会严重限制可用作随机性生成器的RAM的数量。其次,RAM需要保留数据。断电后有一段时间,在此期间存储的数据在内存中保持完整。因此,一旦将存储器用于熵收集之后,将需要时间没有电源才能重新使用它。这可能会导致在可用的安全应用程序中出现无法接受的延迟。本文介绍了使用RAM作为熵源时必须考虑的实际考虑因素。还介绍了在英特尔的WISP(无线识别和传感平台)RFID标签上实现真正的随机数生成器的方法,这是作者所学知识的首例。通过将其与某些流行的RFID身份验证协议的要求相关联,评估了在资源受限的设备上利用基于内存的随机性技术的实用性。

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