Chaos-Lattice Cryptography Dataset for Dynamical Disorder Analysis

Dataset Title Chaos-Lattice Cryptography Dataset for Dynamical Disorder Analysis Description This synthetic dataset was generated to support the study “Digital Defense through Dynamical Disorder”. It integrates lattice-based cryptographic primitives with chaotic dynamical system outputs, enabling the evaluation of hybrid cryptographic frameworks under adversarially realistic conditions. The dataset consists of 500 samples with 43 features, grouped as follows: Lattice Features (lattice_0 – lattice_9): Integer-valued vectors (0–255) representing lattice-based cryptographic structures. Chaos Features (chaos_0 – chaos_29): Floating-point values capturing nonlinear chaotic sequences across 30 dimensions. Entropy: Shannon entropy measure of encoded states. Power Trace: Synthetic side-channel power consumption values. EM Trace: Simulated electromagnetic (EM) leakage trace values. Purpose The dataset is designed for research in post-quantum cryptography, chaotic cryptography, side-channel resistance analysis, and hybrid cryptographic scheme evaluation. It provides a reproducible testbed for benchmarking secure, efficient, and entropy-rich cryptographic systems.