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A Matrix-Based Polyalphabetic Algorithm for Information E...
[Submitted on 22 Jun 2026] · 2026-06-25 · via math updates on arXiv.org

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Abstract:In this paper, we propose a matrix-based polyalphabetic data encoding and decoding scheme using Fibonacci, Leonardo, Jacobsthal, and Lucas sequences. The method employs three sequence-based alphabets for character substitution and a Lucas-based auxiliary alphabet for word separators. A position-dependent selector, \[ \sigma=\bigl(v^2+(i-1)+(j-1)\bigr)\pmod 3, \] distributes repeated plaintext symbols among different numerical alphabets, thereby reducing frequency concentration. The resulting numerical matrix is divided into $3\times 3$ blocks and transformed using powers of the Leonardo $Q$-matrix with block-dependent keys generated from pre-shared parameters $(s,p)$. A collision-free public prime $P$ is used to keep ciphertext entries bounded while preserving unique decoding. A worked example and preliminary statistical, entropy, avalanche, and timing results indicate that the proposed modular construction is computationally efficient and provides improved distributional behavior compared with standard monoalphabetic substitution.

Submission history

From: Nihal Özgür [view email]
[v1] Mon, 22 Jun 2026 16:11:08 UTC (27 KB)