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In this paper we discuss a probabilistic feedback technique to maximize the throughput of a generic True Random Bit Generator (TRBG) circuit, under a given constraint on the entropy. In the proposed approach, the throughput of the device is dynamically and adaptively varied by an on-line entropy detector, such to obtain, with an arbitrary confidence level, an entropy greater than a given worst-case...
In this paper an efficient and accurate method for computing the invariant measure of piecewise affine chaotic maps is proposed. As an application example, the method is used to evaluate for a chaos-based true random bit generator the robustness of the entropy with respect to small map parameters variations.
In this paper we propose an efficient low-hardware complexity post-processing module for a feedback-corrected chaos-based True Random Bit Generator (TRBG) with high Average Shannon Entropy (ASE). The design of the postprocessing module was based both on the theoretical analysis of the information generation mechanism of the considered source and on numerical simulations. A prototype of the module...
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