Gestión del riesgo en la seguridad de la información con base en la Norma ISO/IEC 27005 de 2011, proponiendo una adaptación de la Metodología OCTAVE-S. Caso de estudio: proceso de inscripciones y admisiones en la división de admisión registro y control AC

Este documento presenta la aplicación de la metodología OCTAVE-s para el análisis y gestión del riesgo en la seguridad de la información, adaptada al proceso Inscripciones y Admisiones, en la División de Admisión, Registro y Control Académico (DARCA) de la Universidad del Cauca; siguiendo las directrices de la norma ISO/IEC 27005:2011. Además se incluye la estructura del proceso, y el procedimiento escogido como caso de estudio para aplicar el tratamiento del riesgo. Finalmente, se muestran los resultados obtenidos y las conclusiones de la gestión del riesgo con la metodología adaptada

Information Literacy Needs Open Access or: Open Access is not Only for Researchers

The Open Access was initially (blandly) conceived in view not only of researchers but also of lay readers, then this perspective slowly faded out. The Information Literacy movement wants to teach citizens how to arrive at trustable information but the amount of paywalled knowledge is still big. So, their lines of development are somehow complementary: Information Literacy needs Open Access for the citizens to freely access high quality information while Open Access truly fulfils its scope when it is conceived and realized not only for the researchers (an aristocratic view which was the initial one) but for the whole society

A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers

Computational argumentation has been gaining momentum as a solid theoretical research discipline for inference under uncertainty with incomplete and contradicting knowledge. However, its practical counterpart is underdeveloped, with a lack of studies focused on the investigation of its impact in real-world settings and with real knowledge. In this study, computational argumentation is compared against non-monotonic fuzzy reasoning and evaluated in the domain of biological markers for the prediction of mortality in an elderly population. Different non-monotonic argument-based models and fuzzy reasoning models have been designed using an extensive knowledge base gathered from an expert in the field. An analysis of the true positive and false positive rate of the inferences of such models has been performed. Findings indicate a superior inferential capacity of the designed argument-based models