Protocolo para la notificación y alerta de eventos de seguridad en redes ad-hoc

Las líneas de defensa de seguridad tradicionales para proteger un sistema dado son prevención, detección y respuesta. A pesar de que sobre el papel dichos módulos deben inter-operar a fin de conseguir una seguridad integral, por lo general se plantean y adoptan como soluciones independientes. El presente trabajo aborda el estudio y desarrollo de un protocolo de notificación y alerta de eventos de seguridad cuyo fin principal es servir de interfaz entre los módulos de detección y respuesta. Ideado específicamente para redes ad-hoc, su uso posibilita poner en conocimiento de los elementos constitutivos del entorno monitorizado la ocurrencia de un cierto comportamiento malicioso detectado. Este conocimiento será clave para la ejecución posterior de los mecanismos de respuesta oportunos. También susceptible de ser usada para la distribución de información en procesos de detección/respuesta colaborativos, nuestra propuesta viene a cubrir una carencia manifiesta en el campo objeto de estudio.Este trabajo ha sido parcialmente financiado por el MICINN a través del proyecto TEC2011-22579 y por el MECD a través de la beca del programa de “Formación de Profesorado Universitario” (FPU, Ref.: AP2009-2926)

A Model of Data Forwarding in MANETs for Lightweight Detection of Malicious Packet Dropping

This work introduces a model of data forwarding in MANETs which is used for recognizing malicious packet dropping behaviors. First, different legitimate packet discard situations are modeled, such as those generated by collisions, channel errors or mobility related droppings. Second, we propose an anomaly-based IDS system based on an enhanced windowing method to carry out the collection and analysis of selected crosslayer features. Third, a real deployment of the IDS is also considered by suggesting a methodology for the collection of the selected features in a distributed manner. We evaluate our proposal in a simulation framework and the experimental results show a considerable enhancement in detection results when compared with other approaches in the literature. For instance, our scheme shows a 22% improvement in terms of true positives rate and a remarkable 83% improvement in terms of false positives rate when compared to previous well-known statistical solutions. Finally, it is notable the simplicity and lightweightness of the proposal

Effectiveness of an intervention for improving drug prescription in primary care patients with multimorbidity and polypharmacy:Study protocol of a cluster randomized clinical trial (Multi-PAP project)

This study was funded by the Fondo de Investigaciones Sanitarias ISCIII (Grant Numbers PI15/00276, PI15/00572, PI15/00996), REDISSEC (Project Numbers RD12/0001/0012, RD16/0001/0005), and the European Regional Development Fund ("A way to build Europe").Background: Multimorbidity is associated with negative effects both on people's health and on healthcare systems. A key problem linked to multimorbidity is polypharmacy, which in turn is associated with increased risk of partly preventable adverse effects, including mortality. The Ariadne principles describe a model of care based on a thorough assessment of diseases, treatments (and potential interactions), clinical status, context and preferences of patients with multimorbidity, with the aim of prioritizing and sharing realistic treatment goals that guide an individualized management. The aim of this study is to evaluate the effectiveness of a complex intervention that implements the Ariadne principles in a population of young-old patients with multimorbidity and polypharmacy. The intervention seeks to improve the appropriateness of prescribing in primary care (PC), as measured by the medication appropriateness index (MAI) score at 6 and 12months, as compared with usual care. Methods/Design: Design:pragmatic cluster randomized clinical trial. Unit of randomization: family physician (FP). Unit of analysis: patient. Scope: PC health centres in three autonomous communities: Aragon, Madrid, and Andalusia (Spain). Population: patients aged 65-74years with multimorbidity (≥3 chronic diseases) and polypharmacy (≥5 drugs prescribed in ≥3months). Sample size: n=400 (200 per study arm). Intervention: complex intervention based on the implementation of the Ariadne principles with two components: (1) FP training and (2) FP-patient interview. Outcomes: MAI score, health services use, quality of life (Euroqol 5D-5L), pharmacotherapy and adherence to treatment (Morisky-Green, Haynes-Sackett), and clinical and socio-demographic variables. Statistical analysis: primary outcome is the difference in MAI score between T0 and T1 and corresponding 95% confidence interval. Adjustment for confounding factors will be performed by multilevel analysis. All analyses will be carried out in accordance with the intention-to-treat principle. Discussion: It is essential to provide evidence concerning interventions on PC patients with polypharmacy and multimorbidity, conducted in the context of routine clinical practice, and involving young-old patients with significant potential for preventing negative health outcomes. Trial registration: Clinicaltrials.gov, NCT02866799Publisher PDFPeer reviewe

Anomaly-based Multi-layer Intrusion Detection for MANET Environments

Tesis Univ. Granada. Departamento de Teoría de la Señal, Telemática y Comunicacione