论文标题
对随机位发电机的评估，利用智能手机传感器作为熵来源
Appraisal of a Random Bit Generator Utilizing Smartphone Sensors as Entropy Source
论文作者
论文摘要
我们旨在访问智能手机内可用的熵来源，以构建和评估与现有且经过验证的随机数生成器相比具有竞争力的随机数生成器。利用此处提出的算法的原型应生成可以根据NIST提供的统计测试诉讼进行测试的数据。尽管我们使用宇宙辐射的最初意图失败了，但我们能够从传入的视频和音频源中提取随机性。我们发现，可以利用智能手机的传感器访问这些熵来源，从而在统计测试套装中15个成功的测试中有15个。我们还发现，使用原型的传感器数据收集的错误方法最终会产生弱随机数，并使NIST的统计测试套装失败。最后，我们建议为了达到提供基于智能手机的真实非确定随机数发生器的最初目标，应研究对MUON的检测。
We aim to access entropy sources available within smartphones in order to construct and evaluate a random number generator which is competitive in comparison with existing and proven random number generators. A prototype utilizing the herein proposed algorithm shall generate data that can be tested against the Statistical Test Suit provided by NIST. Although our initial intention of using cosmic radiation failed, we were able to extract randomness from incoming video and audio sources. We found that it is possible to access these sources of entropy utilizing sensors from smartphones resulting in 15 out of 15 successful passed tests within the Statistical Test Suit. We also found that wrong methods of sensor data collection using our prototype eventually generates weak random numbers and fails NIST's Statistical Test Suit. Finally, we suggest that in order to reach the initial goal of providing a smartphone-based true nondeterministic random number generator the detection of muons shall be researched.
