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The central challenge in urban architectural image security lies not in generating chaos itself, but in extracting sufficiently diverse keystreams from nonlinear dynamical systems. To break this bottleneck, a hierarchically nested memristor is bidirectionally coupled with the classical Duffing oscillator, which offers a canonical reduced-order representation of nonlinear vibration in structural systems, to form a four-dimensional autonomous memristive Duffing system. The nested nonlinearity combines absolute-value folding, sign-preserving transformation, and multilevel offset boosting. The nesting depth expands the multiscroll capacity, while the level-dependent offsets regulate attractor number, spatial location, adjacent spacing, and coexistence morphology. A digital hardware implementation reproduces multiscroll states and coexisting phase trajectories, validating the physical realizability of the proposed system. Finally, distinct coexisting-attractor trajectories are incorporated into a key-separated image encryption framework using HKDF/HMAC-SHA256, separating dynamical-state diversity from cryptographic unpredictability, with effectiveness verified on urban architectural images.
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Qiu et al. (2026) studied this question.
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