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Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
Yuan Cao1,2, Wanyi Liu1,2, Lan Qin1,2
1College of Internet of Things Engineering, Hohai University, Changzhou 213022, China.
Abstract:
Entropy is a measure of uncertainty or randomness. It is the foundation for almost all cryptographic systems. True random number generators (TRNGs) and physical unclonable functions (PUFs) are the silicon primitives to respectively harvest dynamic and static entropy to generate random bit streams. In this survey paper, we present a systematic and comprehensive review of different state-of-the-art methods to harvest entropy from silicon-based devices, including the implementations, applications, and the security of the designs. Furthermore, we conclude the trends of the entropy source design to point out the current spots of entropy harvesting.
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