Author : S. Ravichandran
Date of Publication : April 2026
Abstract: Modern encryption systems rely heavily on binary computation and mathematical factorization. While powerful, these systems may face vulnerabilities from quantum computing and advanced pattern recognition. This paper proposes Maraikilavi 360, a multilayered cryptographic framework that transforms numeric data into geometric-temporal and chromatic representations. The method integrates a 24-hour angular displacement model, Base-10 inversion masking, and visual chromatic encoding to produce a dynamic, image-based encrypted payload. The approach introduces moving-target entropy and visual steganography, allowing encrypted data to appear as simple graphical patterns rather than conventional code. The system also preserves a human-centric fallback mechanism enabling manual decoding using a 24-hour circular clock reference.
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