Work

Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices

Year: 2025

Type: article

Abstract: This article presents a comparative analysis of two types of generators of random sequences: one based on a discrete chaotic system being the logistic map, and the other being a commercial quantum random number generator QUANTIS-USB-4M. The results of the conducted analysis serve as a guide for selecting the type of generator that is more suited for a specific IoT solution, depending on the functional profile of the target application and the amount of random data required in the cryptographic process. This article discusses both the theoretical foundations of chaotic phenomena underlying the pseudorandom number generator based on the logistic map, as well as the theoretical principles of photon detection used in the quantum random number generators. A hardware IP Core implementing the logistic map was developed, suitable for direct implementation either as a standalone ASIC using the SkyWater PDK process or on an FPGA. The generated bitstreams from the implemented IP Core were evaluated for randomness. The analysis of the entropy levels and evaluation of randomness for both the logistic map and the quantum random number generator were performed using the ent tool and NIST test suite.

Source: Entropy

DOI: 10.3390/e27070726

Authors: Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

Institutions: Opole University of Technology, Poznań University of Technology, Central Office of Measures

Language: English

Topic: Chaos-based Image/Signal Encryption

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funders: Politechnika Poznańska, Ministry of Science and Higher Education of the Russian Federation, Division of Materials Research