328 research outputs found

    Confidentiality-Preserving Publish/Subscribe: A Survey

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    Publish/subscribe (pub/sub) is an attractive communication paradigm for large-scale distributed applications running across multiple administrative domains. Pub/sub allows event-based information dissemination based on constraints on the nature of the data rather than on pre-established communication channels. It is a natural fit for deployment in untrusted environments such as public clouds linking applications across multiple sites. However, pub/sub in untrusted environments lead to major confidentiality concerns stemming from the content-centric nature of the communications. This survey classifies and analyzes different approaches to confidentiality preservation for pub/sub, from applications of trust and access control models to novel encryption techniques. It provides an overview of the current challenges posed by confidentiality concerns and points to future research directions in this promising field

    Random effects compound Poisson model to represent data with extra zeros

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    This paper describes a compound Poisson-based random effects structure for modeling zero-inflated data. Data with large proportion of zeros are found in many fields of applied statistics, for example in ecology when trying to model and predict species counts (discrete data) or abundance distributions (continuous data). Standard methods for modeling such data include mixture and two-part conditional models. Conversely to these methods, the stochastic models proposed here behave coherently with regards to a change of scale, since they mimic the harvesting of a marked Poisson process in the modeling steps. Random effects are used to account for inhomogeneity. In this paper, model design and inference both rely on conditional thinking to understand the links between various layers of quantities : parameters, latent variables including random effects and zero-inflated observations. The potential of these parsimonious hierarchical models for zero-inflated data is exemplified using two marine macroinvertebrate abundance datasets from a large scale scientific bottom-trawl survey. The EM algorithm with a Monte Carlo step based on importance sampling is checked for this model structure on a simulated dataset : it proves to work well for parameter estimation but parameter values matter when re-assessing the actual coverage level of the confidence regions far from the asymptotic conditions.Comment: 4

    Trust and Privacy in Development of Publish/Subscribe Systems

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    Publish/subscribe (pub/sub) is a widely deployed paradigm for information dissemination in a variety of distributed applications such as financial platforms, e-health frameworks and the Internet-of-Things. In essence, the pub/sub model considers one or more publishers generating feeds of information and a set of subscribers, the clients of the system. A pub/sub service is in charge of delivering the published information to interested clients. With the advent of cloud computing, we observe a growing tendency to externalize applications using pub/sub services to public clouds. This trend, despite its advantages, opens up multiple important data privacy and trust issues. Although multiple solutions for data protection have been proposed by the academic community, there is no unified view or framework describing how to deploy secure pub/sub systems on public clouds. To remediate this, we advocate towards a trust model which we believe can serve as basis for such deployments

    Les forêts anciennes en Wallonie. 2ème partie : Cartographie

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    Un premier article a démontré que l’identification des forêts anciennes est une étape préalable pour pouvoir leur appliquer un mode de gestion spécifique et protéger le patrimoine qu’elles représentent. Cette deuxième partie énumère les sources historiques disponibles en Wallonie, donne un aperçu de l’état d’avancement du travail de numérisation de ces documents mené par le Service Public de Wallonie et en tire quelques informations très surprenantes sur l’évolution spatiale et temporelle des massifs forestiers de Wallonie depuis deux siècles et demi

    Specific Entrainment of Mitral Cells during Gamma Oscillation in the Rat Olfactory Bulb

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    Local field potential (LFP) oscillations are often accompanied by synchronization of activity within a widespread cerebral area. Thus, the LFP and neuronal coherence appear to be the result of a common mechanism that underlies neuronal assembly formation. We used the olfactory bulb as a model to investigate: (1) the extent to which unitary dynamics and LFP oscillations can be correlated and (2) the precision with which a model of the hypothesized underlying mechanisms can accurately explain the experimental data. For this purpose, we analyzed simultaneous recordings of mitral cell (MC) activity and LFPs in anesthetized and freely breathing rats in response to odorant stimulation. Spike trains were found to be phase-locked to the gamma oscillation at specific firing rates and to form odor-specific temporal patterns. The use of a conductance-based MC model driven by an approximately balanced excitatory-inhibitory input conductance and a relatively small inhibitory conductance that oscillated at the gamma frequency allowed us to provide one explanation of the experimental data via a mode-locking mechanism. This work sheds light on the way network and intrinsic MC properties participate in the locking of MCs to the gamma oscillation in a realistic physiological context and may result in a particular time-locked assembly. Finally, we discuss how a self-synchronization process with such entrainment properties can explain, under experimental conditions: (1) why the gamma bursts emerge transiently with a maximal amplitude position relative to the stimulus time course; (2) why the oscillations are prominent at a specific gamma frequency; and (3) why the oscillation amplitude depends on specific stimulus properties. We also discuss information processing and functional consequences derived from this mechanism

    Etude de lois de navigation pour la recherche de sources de gaz

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    Colloque avec actes et comité de lecture. nationale.National audienceOn dérive, dans une situation homogène et stationnaire, une famille de lois de navigation L(n) (0 < n < 1) pour un robot à la recherche d'une source de gaz. Ces lois lui permettent de converger vers la direction de la source et d'y rester de manière stable. Dans une situation inhomogène et en présence de bruit, ce dernier étant autant dû à la turbulence qu'au système permettant d'estimer la concentration en fonction des données des capteurs, la loi L(1/2) se révèle la plus efficace. Les performances restent étonnamment élevées même pour un bruit fort

    Stereo-olfaction with a sniffing neuromorphic robot using spiking neurons

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    Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents a neuromorphic robot using stereo-olfaction and a sniffing system based on nonselective chemosensors that mimic the animal behavior of tracking a specific odor. In order to be able to go toward an odor source, two tasks must be performed : 1) estimation of the gas-concentration gradient and 2) gas recognition independent of the intensity. It is shown how these two tasks can be implemented with artificial spiking neurons in a biologically inspired approach
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