François Lesueur

ColisTrack: testbed for a pervasive environment management system

One of the leading challenges for pervasive computing is to ease the application development to smoothly handle the surrounding environment. We consider the case where the environment produces heterogeneous and continuous data, e. g. temperature readings, car positions... We have defined a scenario for containers transportation tracking in a medical context involving the transportation of fragile biological matter in sensor-enhanced containers. This scenario has been simulated as a testbed and offers a very nice setting to measure the agility of data-centric application development. On top of this scenario, we have built a pervasive application using a Pervasive Environment Management System called SoCQ (Service oriented Continuous Queries). SoCQ provides a data-oriented perspective of the pervasive environment, mixing classical data, streams and functionalities. For the demo, our objective is twofold: first, from the application developer point of view, she has access to the underlying SoCQ-schema and she may pose her own SQL-like queries to the simulated environment. Second, from the end-user point of view, she may quite easily interact with the environment either through a general dynamic visualization with Google Maps of hospitals, cars moving along roads and medical containers waiting or being transported, or by getting SMS notifications on her own phone of results of predefined queries.

A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait

Gait monitoring is one of the most demanding areas in the rapidly growing mobile health field. We developed a smartphone-based architecture (called “NeuroSENS”) to improve patient-clinician interaction and to promote the prolonged monitoring of neurological gait by the patients themselves. A particular attention was paid to the security and privacy issues in patient’s data transfer, that are assured at three levels in an in-depth defense strategy (data storage, mobile and web apps and data transmission). Although of very wide application, our architecture offers a first application to detect intermittent claudication and gait asymmetry by estimating duty cycle and ratio between odd and even peaks of autocorrelation from vertical accelerometer signal and rotation of the trunk by the fusion of accelerometer, gyroscope and magnetometer signals in 3D. During exercices on volunteers, sensor data were recorded through the presented architecture with different speeds, durations and constrains. Estimated duty cycles, autocorrelation peaks ratios and trunk rotations showed statistically significant difference (\(p<0.05\)) with knee brace compared to free walk. In conclusion, the NeuroSENS architecture can be used to detect walking irregularities using a readily available mobile platform that addresses security and privacy issues.

Information Flow Control on a Multi-paradigm Web Application for SQL Injection Prevention

In this paper, we propose an integrated framework to control information flows in order to prevent security attacks, namely, SQL injections threatening data confidentiality. This framework is based on the Prerequisite TBAC model, a new Tuple-Based Access Control model designed to control data dissemination in databases, and that guarantees a controlled declassification. To track information flow in the application part, we propose to propagate dynamically security labels through the system using Paragon, a typed-security language that extends Java with information flow policy specification.

QTor: A Flexible Publish/Subscribe Peer-to-Peer Organization Based on Query Rewriting

Peer-to-peer publish/subscribe architectures are an interesting support for scalable distributed data stream applications. Most approaches, often based on brokers, have a static organization which is not much adaptive to different configurations of the participants’ capacities. We present QTor (Query Torrent) a generic organization that enables dynamic adaptation providing a continuum from centralized to fully decentralized solutions. Based on query rewriting and equivalence, QTor proposes a definition of communities and their relations that decouples the logical and physical aspects of the problem, while efficiently reducing organizational and functional costs.

UPnQ: An Architecture for Personal Information Exploration

Today our lives are being mapped to the binary realm provided by computing devices and their interconnections. The constant increase in both amount and diversity of personal information organized in digital files already turned into an information overload. User files contain an ever augmenting quantity of potential information that can be extracted at a non-negligible processing cost. In this paper we pursue the difficult objective of providing easy and efficient personal information management, in a file-oriented context. To this end, we propose the Universal Plug’n’Query (UPnQ) principled approach for Personal Information Management. UPnQ is based on a virtual database that offers query facilities over potential information from files while tuning resource usage. Our goal is to declaratively query the contents of dynamically discovered files at a fine-grained level. We present an architecture that supports our approach and we conduct a simulation study that explores different caching strategies.