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A dynamic information flow control framework for hyperchaos in complex-variable systems and FPGA-based applications

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  • Sun, Xiangguang
  • Zheng, Jun

Abstract

Traditional chaotic systems suffer from dynamical degradation and fragile chaos caused by the fixed data flow direction in cryptographic applications. To address these limitations, this paper proposes a dynamic information flow control (DIFC) framework by introducing three novel operators to enable real-time control of information flow paths in complex-variable chaotic systems. The resulting DIFC-based complex-variable chaotic system (DIFC-CVCS) exhibits strong hyperchaotic behavior with strictly bounded trajectories and remains stable under 16-bit precision. The DIFC system achieves a near-ideal permutation entropy of average value 0.9992 and demonstrates robust chaotic properties. A pseudorandom number generator (PRNG) constructed from DIFC-CVCS passes all 15 NIST SP800-22 statistical tests with a 100% success rate. Hardware implementation on field-programmable gate arrays (FPGA) validates the practical feasibility of the design, achieving a throughput of 500 Mbps. The proposed control framework provides a new paradigm for designing high-performance and precision-resilient chaotic systems for secure applications.

Suggested Citation

  • Sun, Xiangguang & Zheng, Jun, 2025. "A dynamic information flow control framework for hyperchaos in complex-variable systems and FPGA-based applications," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    • Handle: RePEc:eee:chsofr:v:199:y:2025:i:p3:s0960077925008719
    DOI: 10.1016/j.chaos.2025.116858
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