Pedagogical and Technological University of Colombia

A key research challenge in modern cryptography is the construction of robust nonlinear components that simultaneously achieve high nonlinearity, resistance to linear and differential cryptanalysis, and efficient implementation for real-time systems. Existing S-box construction methods—whether chaos-based or algebraic—struggle to balance these requirements, especially in RGB image encryption where large data size, high redundancy, and inter-pixel correlations complicate security. To address these challenges, this paper presents a novel technique for constructing block cipher nonlinear elements and developing an RGB image encryption scheme by integrating Gaussian integer rings with Mordell elliptic curves. The proposed method generates strong n× n S-boxes by first establishing a Mordell elliptic curve on a finite field, selecting unique y- values, and applying Gaussian integer transformations to construct nonlinear substitution boxes. The resulting S-boxes exhibit high nonlinearity and effective resistance to linear and differential attacks. Building on this, a new RGB encryption system is designed using a Substitution–Permutation Network (SPN) framework that applies input preparation, S-box substitution, a secondary permutation, and XOR operations to ensure confusion and diffusion across color channels. Experimental evaluation shows that the scheme achieves high entropy, low pixel correlation, and strong robustness against statistical, brute-force, and differential attacks. The integration of Gaussian integer rings with Mordell elliptic curves advances cryptographic security by providing an efficient algebraic framework for image encryption. The proposed methodology is well-suited for real-time applications, including cloud security, IoT data protection, and secure medical image handling. The main originality of this study lies in combining Gaussian integers with elliptic curves to construct secure nonlinear components, offering a new algebraic paradigm for modern encryption systems.

In additive manufacturing technologies, the use of pastes and inks based on materials such as clay to create three-dimensional objects layer by layer has opened new possibilities in fields such as engineering and biomedicine. This review article aims to provide a comprehensive understanding of 3D printing of ceramic pastes through Direct Ink Writing (DIW), also referred to as Robocasting. DIW offers specific advantages for ceramic 3D printing, including the ability to extrude highly loaded pastes with customized rheological properties to accommodate a broad spectrum of ceramic compositions, varying from conventional clays to advanced ceramics. It is characterized by filament deposition control, which facilitates the fabrication of complex, porous, or customized architectures while simultaneously minimizing material waste. Through a bibliometric analysis of the literature published between 2020 and 2024, the most relevant studies regarding printing system architectures, ceramic paste formulations, and adjustment of parameters to obtain high-quality parts were identified. This work presents relevant and accurate explanations of the DIW technology, supporting researchers and industry professionals seeking to initiate or improve ceramic 3D printing processes for a wide range of applications.

Pervious concrete (PC) is widely utilized in pervious pavement systems applications to enhance stormwater management; however, its highly porosity (interconnected porous structure) renders it susceptible to abrasion-related damage, primarily through raveling mechanisms. This study investigates the influence of Styrene-Butadiene Rubber (SBR) latex polymer incorporation on the abrasion resistance of PC using a progressive Cantabro testing framework, in which mass loss is monitored at controlled intervals to analyze degradation kinetics rather than solely final mass loss. The experimental program was complemented by a life cycle assessment (LCA) and a cost analysis to evaluate the technical, environmental, and economic implications of polymer modification under equivalent abrasion performance conditions. Results indicate that polymer addition improves mixture cohesion, leading to enhanced mechanical performance and abrasion resistance, while moderately reducing porosity and permeability. Among the studied mixtures, an intermediate polymer content yielded the optimal balance between hydraulic functionality, mechanical integrity, and durability. The progressive Cantabro approach proved effective in differentiating degradation behavior among mixtures and facilitated the formulation of an abrasion-based functional unit for durability-oriented sustainability assessment. Overall, the proposed framework supports performance-based mixture optimization and provides a decision-oriented methodology for the design of durable and sustainable pervious concrete pavements.

This paper evaluates the effect of adding Blast Furnace Dust (BFD), a by-product of the steel industry, on the multifunctional performance of porous asphalt mixtures designed for self-healing permeable pavements. Porous mixtures were prepared with six different BFD percentages (i.e., 0

This study evaluates electrospun polylactic acid (PLA) membranes reinforced with graphene nanoplatelets (GnP) at concentrations of 0, 1, 2, and 10 w/w