Smartphone sensors as random bit generators

Joseph Loutfi, A. Chehab, I. Elhajj, A. Kayssi
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引用次数: 8

Abstract

Finding good entropy sources, designing deterministic (pseudo) random number generators, or simply finding suitable non-deterministic random number generators are major challenges. The goal of this paper is to evaluate the use of three motion sensors present in smartphones as potential nondeterministic, true random bit generators (TRNG). This paper focuses in particular on sensors present in Samsung Galaxy S3 and S4 devices. Data from the sensors was collected and submitted to the NIST STS v-2.1.1 test suite and the resulting bits were found fit enough to be used as the output of a TRNG. In addition, 4 SHA versions were used to whiten the data (as per NIST recommendation). Their conditioning performance was compared to each other, and found to be very close.
智能手机传感器作为随机比特生成器
寻找好的熵源,设计确定性(伪)随机数生成器,或者只是寻找合适的非确定性随机数生成器是主要的挑战。本文的目标是评估智能手机中存在的三种运动传感器作为潜在的不确定性,真正的随机比特生成器(TRNG)的使用。本文特别关注三星Galaxy S3和S4设备中存在的传感器。来自传感器的数据被收集并提交给NIST STS v-2.1.1测试套件,结果位被发现足够适合用作TRNG的输出。此外,使用了4个SHA版本来漂白数据(按照NIST的建议)。他们的调节性能相互比较,发现非常接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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