Enhanced Chaotic...: Two general frameworks called NLCS and FPCS are developed for building robust chaotic system based on existing seed maps.

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  1. 3f2b8ae final gds oasis by Jeff DiCorpo · 1 year, 7 months ago main
  2. 733ff34 added user defines.v by Parker Hardy · 1 year, 7 months ago
  3. 017fbf8 Finished Hardening, design is integrated, this is golden release by Parker Hardy · 1 year, 10 months ago
  4. 91d0b29 Included FSM configuration files by Parker Hardy · 1 year, 10 months ago
  5. 3b3ebbb Commiting work done as of friday, so far everything is configured and ready to go, just need to harden FSM, wrapper, and then run precheck, NOTE the GDS has not been copied over nor has the lef files by Parker Hardy · 1 year, 10 months ago

Caravel User Project

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:exclamation: Important Note
Title: Enhanced Chaotic Oscillator Design
Description: As part of this project, two general frameworks called NLCS (Normalized Linearly-combined Chaotic System) and FPCS (Flipped Product Chaotic System) are developed for building robust chaotic system with enhanced entropic properties. NLCS comprises an arbitrary linear combination of existing maps followed by a simple normalization technique to improve the chaotic performance. The proposed frameworks are general and can be extended to any number of seed maps with any coefficient for linear combination. In FPCS, we built a general framework of 1-D chaotic maps where the output of one map is multiplied with the output of a vertically flipped second map to get the final output. Several systems are developed using different combinations of three seed maps, namely, logistic, tent, and sine maps. The robustness of the system across the entire parameter space is illustrated using stability analysis and bifurcation diagram along with four established metrics, namely, Lyapunov exponent, Kolmogorov entropy, Shannon entropy, and correlation coefficient. The systems developed by the proposed methods offer an uninterrupted chaotic window over the whole range of operation while the constituent seed maps only provide a narrow chaotic range. Unlike the seed maps, the entropy values in the developed systems remain uniformly high across the whole range and the value is always close to the maximum achievable value from the constituent seed maps. The simplicity of the proposed methods has been demonstrated by highly efficient VLSI implementation in this project. The proposed systems can be useful in diverse practical security application such as chaos-based cryptography, secure communication, reconfigurable logic gate, PRNG (Pseudo Random Number Generator) etc.

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