Structural and Heuristic Factorization Using the MFP-Pollard Method and Miller-Rabin Variants for Large Numbers

Abstract This article introduces five variants of the Pattern-Based Factorization Method (MFP), which combine structural formulations and heuristic techniques based on decimal digit distributions, modular arithmetic, and Pollard-Rho adaptations. Each variant is evaluated according to its efficiency, ability to detect true divisors, and applicability to large composite numbers—including RSA integers. The innovations include the use of decimal redistribution, structural GCD functions, adaptive Pollard increments, and an extended Miller-Rabin method capable of extracting real divisors.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-12
DOI
https://doi.org/10.5281/zenodo.15645051
Primary Topic
Cryptography and Residue Arithmetic
Type
article
Field-Weighted Citation Impact
0.00
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article

Structural and Heuristic Factorization Using the MFP-Pollard Method and Miller-Rabin Variants for Large Numbers

Zenodo (CERN European Organization for Nuclear Research)
Cryptography and Residue Arithmetic
article

Structural and Heuristic Factorization Using the MFP-Pollard Method and Miller-Rabin Variants for Large Numbers

article en

Abstract

Abstract This article introduces five variants of the Pattern-Based Factorization Method (MFP), which combine structural formulations and heuristic techniques based on decimal digit distributions, modular arithmetic, and Pollard-Rho adaptations. Each variant is evaluated according to its efficiency, ability to detect true divisors, and applicability to large composite numbers—including RSA integers. The innovations include the use of decimal redistribution, structural GCD functions, adaptive Pollard increments, and an extended Miller-Rabin method capable of extracting real divisors.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Cryptography and Residue Arithmetic
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