Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function

Hits:

Indexed by:Journal paper

First Author:Y. Cao

Correspondence Author:C. Wang*

Co-author:W. Liu, L. Qin, B. Liu, S. Chen, J. Ye, X. Xia

Journal:Entropy

Included Journals:SCI

Discipline:Engineering

First-Level Discipline:Electronic Science And Technology

Document Type:J

Volume:24

Issue:11

DOI number:10.3390/e24111566

Date of Publication:2022-10-30

Impact Factor:2.73

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

Links to published journals:https://www.mdpi.com/1099-4300/24/11/1566