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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.

Entropy (Basel, Switzerland)
|November 11, 2022
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Summary
This summary is machine-generated.

This paper surveys methods for harvesting entropy, a measure of randomness crucial for cryptography. It reviews silicon-based true random number generators (TRNGs) and physical unclonable functions (PUFs), detailing their implementations, applications, and security.

Keywords:
PUFTRNGentropyinformation security

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Area of Science:

  • Cryptography and Hardware Security
  • Information Theory
  • Semiconductor Device Physics

Background:

  • Entropy quantifies uncertainty and is fundamental to cryptographic systems.
  • True Random Number Generators (TRNGs) and Physical Unclonable Functions (PUFs) are key silicon primitives for entropy harvesting.
  • Dynamic and static entropy sources are essential for generating secure random bit streams.

Purpose of the Study:

  • To provide a systematic and comprehensive review of state-of-the-art entropy harvesting methods from silicon-based devices.
  • To analyze the implementations, applications, and security aspects of various entropy harvesting techniques.
  • To identify current trends and challenges in entropy source design for improved cryptographic security.

Main Methods:

  • Literature review and systematic analysis of existing research on entropy harvesting.
  • Categorization of entropy sources based on device physics and entropy type (dynamic/static).
  • Comparative study of different TRNG and PUF designs, focusing on performance and security.

Main Results:

  • Overview of diverse silicon-based entropy sources, including their operational principles.
  • Detailed examination of the practical implementations and application domains of TRNGs and PUFs.
  • Assessment of the security vulnerabilities and strengths associated with different entropy harvesting approaches.

Conclusions:

  • Entropy harvesting from silicon is critical for secure random bit generation in cryptographic applications.
  • The survey highlights the evolution and current landscape of entropy source technologies.
  • Future research directions focus on enhancing the reliability, security, and efficiency of entropy harvesting mechanisms.