Quasimodo

Participants : François Despaux, Abdelkader Lahmadi, Ye-Qiong Song [contact] .

ANR Doctor

Participants : Thomas Silverston [contact] , Thibault Cholez [contact] , Elian Aubry, Jérôme François, Abdelkader Lahmadi, Olivier Festor.

The DOCTOR project is an applied research project funded by the French National Research Agency (ANR), grant <ANR-14-CE28-000>, and supported by the french Systematic cluster. The project officially started on October 2014 with a effective beginning of the scientific work on December 2014. It involves five partners specialized in network architectures, network monitoring and network security: three industrial partners (Orange Labs, Thales and Montimage) and two academic partners (Université de technologie de Troyes, LORIA).

Information-Centric Networking (ICN), a novel promising networking paradigm that allows adapting networks to current content-centric usage patterns, raises many deployment issues. The DOCTOR project advocates the use of virtualized network equipment (Network Functions Virtualization), enabling the co-existence of such IP and ICN stacks and the progressive migration of traffic from one stack to the other while guaranteeing the good security and manageability of the network that are primary operator requirements that need to be assured before deploying new solutions. Therefore in DOCTOR, the main goals of the project are: (1) the efficient deployment of emerging networks functions or protocols in a virtualized networking environment; (2) the monitoring and security of virtually deployed networking architectures.

This year, we mainly prepared the kickoff meeting that took place the 10th of December in Orange Labs, Issy-les-Moulineaux. We also started a joint work with UTT to write a survey on Named-Data Networking with an emphasis on the deployment and security questions.

ANR LAR

Participants : Kévin Roussel, Ye-Qiong Song [contact] .

PEPS Humain - CNRS Project TrustSourcing

Participants : Thomas Silverston [contact] , Vassili Rivron, Isabelle Chrisment.

Crowdsourcing relies on the participation of users collecting information in order to perform complex tasks. The participating users and the collected data should be of high quality for offering a trustable service to all the users. In the Trustsourcing project, we propose to design a Trust mechanism adapted to the crowdsourcing paradigm. Based on the current work initiated by the Metroscope/PRACTIC initiative, whose main goal is to study the usage of smartphone by measuring users’ activity, we will propose to classify smartphone users and deduce some categories of trustable users. According to their “fingerprint” usage of their smartphone (time spent with phone, number of applications, messages etc.), we could estimate if an user will more probably belong to a category of trustable users or not. Our predictive mechanism will rely on the measurement of realistic users’ activity and could help limiting drastically the impact of malicious users and the deterioration of the crowdsourcing service.

Action de Développement Technologique

ADT Métroscope

ADT SEA

The goal of this ADT is to provide an novel security solution for Android platforms where the users will be able to evaluate the security level of their devices. The solution relies on the analysis and collection of logs and network activities of running Android applications to detect malicious activities and also the detection of vulnerable configurations of the device using an OVAL-based approach. Through, this ADT, funded by Inria, an engineer (Eric Finickel) was hired for 2 years (2013-2015). He is working on the development of Android devices embedded probes to export logs and network activities. He will also design and setup the collector and the analysis applications using a Hadoop based framework. It is currently deployed in the High Security Lab.

ADT R2D2

The goal of this ADT is to provide assistance in developing the Aetournos platform. Through this ADT, funded by Inria, an engineer (Ceilidh Hoffmann) was hired for the year (2014). She has been helping maintaining the Aetournos platform, coordinating students work on the platform and tutoring the Aetournos team for the Outback Joe Search and Rescue Challenge. She is also developing tools for UAV localization using visual cues.

Inria Project Lab PAL