Secure chaos-based PRNG for low-power and resource-constrained devices
Nonlinear Dynamics, cilt.113, sa.23, ss.32877-32907, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 113 Sayı: 23
- Basım Tarihi: 2025
- Doi Numarası: 10.1007/s11071-025-11804-x
- Dergi Adı: Nonlinear Dynamics
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, zbMATH
- Sayfa Sayıları: ss.32877-32907
- Anahtar Kelimeler: Chaos-based PRNG, Finite-precision, Dynamical degradation, Perturbation, FPGA, Resources-constrained systems, IoT security, Statistical randomness, Lyapunov exponent, Permutation entropy, Sample entropy, Recurrence quantification analysis (RQA), Embedded cryptography, Tinkerbell map
- Kırklareli Üniversitesi Adresli: Evet
Özet
This paper presents a secure and efficient chaos-based pseudo-random number generator optimized for low-power, resource-constrained platforms. A lightweight, self-adaptive Perturbation-Randomization mechanism is embedded into the Tinkerbell map to mitigate precision-induced degradation and boost entropy, without increasing complexity. A hardware-efficient post-processing unit further enhances output randomness. Extensive evaluation confirms compliance with NIST SP800-22, Dieharder, and TestU01, while nonlinear measures (LLE, PE, SampEn, RQA) highlight strong dynamical complexity. Implemented on an Artix-7 FPGA, the design achieves 2.33 Gbps throughput at just 0.115 W power. Compared to existing works, it offers full statistical validation, low area (227 LUTs, 232 FFs, 16 DSPs), and proven IoT suitability—unlike many prior designs that lack empirical support.