Cloud file sharing using PREaaS

This paper proposes a new method of features extraction for handwritten, printed and isolated numeral recognition. It is essential today for a company to store its data in an encrypted way when it uses Cloud Computing. However, the manipulation of this encrypted data remains complex, and it is very difficult in this case to be able to share the encrypted data between different users. One of the solutions for sharing encrypted data is to use PRE (Proxy Reencryption) which allows both the re-encryption of the data, but also the delegation of this operation by a third party via the use of a specific key. In this article, we propose a solution for sharing encrypted files between users that uses a classic storage system in the Cloud and PRE (re-encryption PRoxy). We present an improvement of an existing PRE algorithm by applying it to elliptical curves in order to improve its performance. Finally, we implement this architecture in the form of a cloud service called PREaaS (PRE as a Service) which allows this mechanism to be used on demand with an API

Absolute localisations in indoor environment based on omnidirectionnal vision

In this article, we present two localization methods based on the omnidirectional SYCLOP sensor. The first method is a static one and is based on a matching between one real image and a base of synthetics panoramic pictures. This base is computed with the help of a modelling and a calibration of the SYCLOP sensor. The second method is a dynamic one and is based on multi target tracking. The originality of this method is its capability to manage and propagate uncertainties during the localization process. This multi-level uncertainty propagation stage is based on the use of the Dempster-Shafer theory. In this work, SYCLOP is associated with a panoramic range finder. It enables to treat complementary and redundant data and thus to construct a robust sensorial model which integrates an important number of significant primitives. Based on this model, we treat the problem of maintaining a matching and propagating uncertainties on each matched primitive in order to obtain a global uncertainty about the robot configuration.Dans cet article, nous présentons deux méthodes de localisation basées sur l'utilisation du capteur omnidirectionnel SYCLOP. La première méthode, statique, consiste à rechercher la configuration du robot d'une manière absolue par la mise en correspondance d'une image réelle avec une base d'images panoramiques synthétiques. Cette base est obtenue grâce à la modélisation et la calibration du capteur SYCLOP. La deuxième méthode, dynamique, est basée sur de la poursuite multi-cibles. L'originalité de cette méthode réside dans sa capacité à gérer et propager des incertitudes durant le processus de localisation. Cette propagation multi-niveaux d'incertitudes est basée sur l'utilisation de la théorie de Dempster Shafer. Dans ce travail, SYCLOP est associé à un capteur de profondeur. Ceci permet de traiter des données à la fois complémentaires et redondantes et donc de construire un modèle sensoriel robuste intégrant un nombre important de primitives significatives. En nous appuyant sur ce modèle, nous traitons le problème de maintien d'un appariement et de la propagation d'une incertitude sur chaque primitive appariée, ceci dans le but d'obtenir une incertitude globale qui caractérise l'estimation de configuration du robot

Localisation et modélisation de l'environnement d'un robot mobile par coopération de deux capteurs omnidirectionnels

COMPIEGNE-BU (601592101) / SudocSudocFranceF

Localization method based on omnidirectional stereoscopic vision and dead-reckoning

and dead-reckonin

PRE as a Service within Smart Grid City

International audienceIn the context of Smart Grid Cities, legal obligations require that certain personal data must be stored in the long term and protected. To deal with confidentiality issues, we use the concept of Proxy Re-Encryption (PRE) which allows sharing encrypted data. We present the first implementation of the Chow’s algorithm, and propose an optimized instantiation thanks to elliptic curves. This is the first unidirectional algorithm with CCA security that does not rely on pairing, which guarantees its high performance. This allows its use in real conditions. We have implemented it in JavaScript for direct use in a web browser by the user. In order to be able to process the data asynchronously, we then define the notion of PREaaS (Proxy Re-Encryption as a Service) that also allows use in a service-oriented context