A Secure Multi-Tier Mobile Edge Computing Model for Data Processing Offloading Based on Degree of Trust

Current mobile devices need to run applications with high computational demands and critical response times. The mobile edge computing (MEC) paradigm was developed to improve the performance of these devices. This new computation architecture allows for the mobile devices to execute applications on fog nodes at the network edge; this process is called data processing offloading. This article presents a security model for the externalization of application execution in multi-tier MEC environments. The principal novelty of this study is that the model is able to modify the required security level in each tier of the distributed architecture as a function of the degree of trust associated with that tier. The basic idea is that a higher degree of trust requires a lower level of security, and vice versa. A formal framework is introduced that represents the general environment of application execution in distributed MEC architectures. An architecture is proposed that allows for deployment of the model in production environments and is implemented for evaluation purposes. The results show that the security model can be applied in multi-tier MEC architectures and that the model produces a minimal overhead, especially for computationally intensive applications.This work was supported in part by the Conselleria d’Educació, Cultura i Esport, Generalitat Valenciana. Grant GV/2015/122

Data Mining

The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics. This book presents basic concepts, ideas, and research in data mining

Recent Advances in Indoor Localization Systems and Technologies

Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods

Contribution à la gestion de l'évolution des processus métiers

La gestion de l'évolution des processus métier exige une compréhension approfondie des cause des changements, de leurs niveaux d'application ainsi que de leurs impacts sur le reste du système. Dans cette thèse, nous proposons une approche de gestion et de contrôle de l'éolution des processus métier permettant d'analyser ces changements et de comprendre leurs impacts. Cela assistera les concepteurs et les chargés de l'évolution des processus métier à établir une évaluation a priori de l'impact pour réduire les risques et les coûts liés à ces changements et d'améliorer le service et la qualité des processus métier. Ce travail consiste à proposer un ensemble de contributions permettant une vérification de la cohérence et de la conformité des modèles de processus métier après chaque changement, mais aussi d'établir une éaluation a priori de l'impact structurel et qualificatif des modifications. Les différentes approches proposées sont en cours d'expérimentation et de validation à travers le développement d'une plate-forme basée sur l'environnement EclipseThe evolution management of the business processes requires an exhaustive understanding of the change. An evolution engineer needs to understand reasons of a change, its application levels, and subsequently its impact on the whole system. In this thesis, we propose an approach for an a priori change impact analysis, to better control the business process evolution. This may help the business experts and the process designers to evaluate change impact in order to reduce the associated risks and estimate the related costs. It may also help to improve the service and quality of the business processes. This work contributes an eventual improvement, in regard, to verify the coherence and the compliance of the business process models, after each change. It leads to evaluate an a priori change impact analysis in structural and qualitatie aspects. The multiple-perspectives of the proposed approach have been reviewed experimentally. The validation of the approach is evaluated by exteding the Eclipse Development Environment, with the help of a set of plug-ins, as a prototype plate-form.DUNKERQUE-SCD-Bib.electronique (591839901) / SudocSudocFranceF