Securing Privacy with Matrices: A New Approach to Image Data Protection

Abstract

As the digital landscape evolves, protecting sensitive image data becomes paramount in preserving user privacy. This paper introduces a novel approach for safeguarding image data using matrix-based encryption techniques. Traditional encryption methods may not be suited for images due to their unique characteristics, such as large data sizes and complex visual patterns. In response to this challenge, our proposed method exploits the power of matrices to effectively transform and secure image data. In this study, we introduce an encryption method for an image matrix by performing several matrix manipulations that include permuting rows with columns, shifting elements in rows and columns, and XORing elements in the main and secondary diagonals with a randomly generated key. Extensive experiments were conducted on various images using different security and performance metrics to assess the effectiveness of the suggested method. The results showed that the presented matrix-based encryption method competes with known methods regarding encryption strength and attack resistance. This research provides a promising encryption method that uses the matrix model to achieve security for image data.