A Simple Burst-Mode Multiple-Entropy TRNG Based on Standard Logic Primitives

The paper introduces the concept of a True Random Number Generator (TRNG) based on an unstable circuit that uses only two types of logic devices: XOR gates and logic inverters forming delay lines. The core circuit ensures randomness in both the voltage (logical state) and time domains (duration of autonomous operation), while utilizing very few resources. Due to its low complexity, the proposed TRNG can be easily implemented in reconfigurable devices without sophisticated components such as Digital Clock Managers (DCM), Phase Locked Loops (PLL), or dedicated IP cores. The authors present a theoretical analysis of the TRNG using a Simulink macromodel, demonstrating chaotic behavior, and describe its implementation on a Complex Programmable Logic Device (CPLD) and additional verification on an FPGA. The randomness quality of the TRNG was validated using the standard National Institute of Standards and Technology (NIST) SP 800-22 battery of tests.

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Publication Details

Journal
Electronics
Published
2025-09-25
DOI
https://doi.org/10.3390/electronics14193803
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

A Simple Burst-Mode Multiple-Entropy TRNG Based on Standard Logic Primitives

Piotr Z. Wieczorek, Bartosz Mikołaj Szkoda
Electronics
Chaos-based Image/Signal Encryption
article

A Simple Burst-Mode Multiple-Entropy TRNG Based on Standard Logic Primitives

Piotr Z. Wieczorek, Bartosz Mikołaj Szkoda
article en

Abstract

The paper introduces the concept of a True Random Number Generator (TRNG) based on an unstable circuit that uses only two types of logic devices: XOR gates and logic inverters forming delay lines. The core circuit ensures randomness in both the voltage (logical state) and time domains (duration of autonomous operation), while utilizing very few resources. Due to its low complexity, the proposed TRNG can be easily implemented in reconfigurable devices without sophisticated components such as Digital Clock Managers (DCM), Phase Locked Loops (PLL), or dedicated IP cores. The authors present a theoretical analysis of the TRNG using a Simulink macromodel, demonstrating chaotic behavior, and describe its implementation on a Complex Programmable Logic Device (CPLD) and additional verification on an FPGA. The randomness quality of the TRNG was validated using the standard National Institute of Standards and Technology (NIST) SP 800-22 battery of tests.

ElectronicsVol. 14(19)
Warsaw University of Technology (PL)
Openalex Percentile: Top 74%
Chaos-based Image/Signal Encryption
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