An algorithm for hiding and recovering data using matrices

TL;DR

This paper introduces an efficient algorithm to recover a matrix from two of its powers with coprime exponents, enabling secure data hiding and recovery using matrix operations and public key encryption methods.

Contribution

The paper presents a novel algorithm for matrix recovery from two powers with coprime exponents, facilitating secure data hiding and retrieval.

Findings

Efficient recovery of matrix from two powers with coprime exponents.

Method enables secure data hiding using matrix powers and public key encryption.

Recovery process is computationally efficient regardless of exponents' size.

Abstract

We present an algorithm for the recovery of a matrix $\mathbb{M}$ % (non-singular $\in $ $\mathbb{C}^{N\times N}$) by only being aware of two of its powers, $\mathbb{M}_{k_{1}}:=\mathbb{M}^{k_{1}}$ and $\mathbb{M}% _{k_{2}}:=\mathbb{M}^{k_{2}}$ ($k_{1}>k_{2}$) whose exponents are positive coprime numbers. The knowledge of the exponents is the key to retrieve matrix $\mathbb{M}$ out from the two matrices $\mathbb{M}_{k_{i}}$. The procedure combines products and inversions of matrices, and a few computational steps are needed to get $\mathbb{M}$, almost independently of the exponents magnitudes. Guessing the matrix $\mathbb{M}$ from the two matrices $\mathbb{M}_{k_{i}}$, without the knowledge of $k_{1}$ and $k_{2}$, is comparatively highly consuming in terms of number of operations. If a private message, contained in $\mathbb{M}$, has to be conveyed, the exponents can be encrypted and then distributed through a public key method as, for instance, the DF (Diffie-Hellman), the RSA (Rivest-Shamir-Adleman), or any other.