vol. 5 núm. 2 (2024): la multidisciplinariedad de las ciencias de la computación y su impacto en la humanidad

Internet usage has surged, connecting approximately 66% of the global population, with countries like Colombia reaching a mobile Internet penetration rate of 86.09 per 100 by 2023. Maintaining continuous access is crucial as the Internet becomes indispensable in daily life. A key aspect of ensuring the reliability of Internet services is the monitoring of telecommunications links and equipment. This process enables real-time network performance assessment, detecting speed, traffic type, application usage, and unauthorized access. These metrics are essential for evaluating Quality of Service (QoS) and Quality of Experience (QoE), ensuring efficient and uninterrupted Internet connectivity.

This article presents the implementation of an information module that allows users of a health service provider to register, consult, and edit the results of basic metabolic panel tests. The objective of the work is to facilitate and streamline the processes of service provision in health care providers and hospitals. To achieve this goal, software tools and technologies were used to develop enterprise web applications such as Spring Framework, Object Oriented Programming (OOP), and the HL7 FHIR standard, which is fundamental for exchanging clinical information between information systems. Their administration will be done through a web browser or a mobile Android Operating System (OS) application. The module will ensure that results can be managed effectively, making them more accessible to patients and medical staff. It also allows new developments to reuse the code.

This article explores the use of middleware as a robust solution to mitigate membership inference attacks (MIA) in machine learning (ML) systems. These attacks allow an attacker to deduce whether a specific data point was part of a model’s training set, compromising data confidentiality and privacy. The proposed approach focuses on the use of middleware that implements data randomization techniques, prediction obfuscation, dynamic regularization, and real-time monitoring to prevent such attacks. The results reveal that this middleware architecture provides an additional layer of security, minimizing the risk of data exposure while maintaining model accuracy. This research offers a novel perspective on using middleware for mitigating membership inference attacks, providing valuable insights into machine learning security.

This study addresses the importance of logistics in military strategy, the complex dynamics between the science and art of logistics during conflicts, and the elements of Information and Communication Technologies (ICTs). Logistics plays a crucial role in ensuring the success of military operations, especially in contexts where supply lines are vulnerable to interference. This analysis focuseson “Contested Logistics,” exploring how effective coordination and resilience can overcome the challenges of contested environments. This work used an exploratory and descriptive methodology combining qualitative and quantitative analyses. The study includes a comprehensive bibliometric analysis using the VoSviewer technology tool, which analyzes the existing literature on logistics and identifies recent trends and key terms. The results highlight the main logistics challenges in contested environments: supply line interference, multidomain threats, logistics, and ICT application-related vulnerabilities. In addition, they propose technological solutions, collaborative strategies, and autonomous systems. The results provide a basis for future research, suggest the need for a joint concept for Disputed Logistics within military strategic frameworks, and address the importance of logistics in military strategy, the dynamics between the science and art of logistics, and the relationship of the role of ICTs in the implementation of new solutions.