Causal Separability in the K=4 Layer Mathematical Foundation for Diffusion in Algebraic Confinement Cryptography
Abstract
Project Description: Algebraic Confinement Cryptography (ACC) This document presents the theoretical foundations of Algebraic Confinement Cryptography (ACC), an innovative security architecture based on the hierarchical encapsulation structure K=3, K=4, and K=5 discovered within affine 0-Hecke monoids. The core innovation relies on the application of the Commutation Deficit Formula C(K) = K(K-3)/2, utilized as a Causal Separability Index (CSI) to define the data protection layers: K=3 Layer (Confusion): Characterized by a CSI of 0 (Total Confinement). In this layer, no pair of generators commutes, ensuring maximum confusion and the impossibility of factoring the internal state of the system. K=4 Layer (Diffusion): Characterized by a CSI of 2 (Causal Factorization). It introduces two orthogonal commutation pairs, enabling controlled and efficient information propagation via independent channels. K=5 Layer (Coherence): Characterized by a CSI of 5 (Golden Attractor). It ensures system stability and self-correction via the 42/33 lexical ratio converging toward the square root of the golden ratio. The model also introduces the concept of Topological Security, where key protection is anchored by the trefoil knot invariant. This approach offers theoretical resistance against quantum computing algorithms, as information is protected by geometric invariants rather than classical computational complexity alone. The security parameters, such as the 33 seeds and 42 roots, as well as the 72-bit data block, are mathematical necessities intrinsic to the algebraic structure of the model. This work establishes a bridge between fundamental physics and information security engineering.
Fields of Study & Subjects
Cryptography and Data Security
Coding theory and cryptography
Cryptographic Implementations and Security
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026