Section: Partnerships and Cooperations

National Initiatives

• Title: ADAGE (Anonymous Mobile Traffic Data Generation).

• Type: FUI.

• Duration: July 2016 - September 2018.

• Coordinator: Orange.

• Others partners: Inria, CNRS LAAS.

• Abstract: The project ADAGE aims at developping solutions for the anonymization of mobility traces produced by mobile operators.

• Title: Application of privacy by design to biometric access control.

• Type: ANR.

• Duration: April 2013 - March 2017.

• Coordinator: Morpho (France).

• Others partners: Morpho (France), Inria (France), Trusted Labs (France).

• See also: http://planete.inrialpes.fr/biopriv/.

• Abstract: The objective of BIOPRIV is the definition of a framework for privacy by design suitable for the use of biometric technologies. The case study of the project is biometric access control. The project will follow a multidisciplinary approach considering the theoretical and technical aspects of privacy by design but also the legal framework for the use of biometrics and the evaluation of the privacy of the solutions.

• Title: Application of privacy by design to biometric access control.

• Type: ANR.

• Duration: August 2017 - August 2020.

• Coordinator: Uness (France).

• Others partners: Inria, UGA, ENS, Theia, Viseo.

• Abstract: Since 2013, faculties of medicine have used a shared national platform that enables them to carry out all of their validating exams on tablets with automatic correction. This web platform entitled SIDES allowed the preparation of the medical students to the Computerized National Classing Events (ECN) which were successfully launched in June 2016 (8000 candidates simultaneously throughout France). SIDES 3.0 proposes to upgrade the existing platform. Privatics goals in this project is to ensure that privacy is respected and correctly assessed .

• Title: DAPCODS/IOTics.

• Type: ANR 2016.

• Duration: May 2017 - Dec. 2020.

• Coordinator: Inria PRIVATICS.

• Others partners: Inria DIANA, EURECOM, Univ. Paris Sud, CNIL.

• Abstract:

  Thanks to the exponential growth of Internet, citizens have become more and more exposed to personal information leakage in their digital lives. This trend began with web tracking when surfing the Internet with our computers. The advent of smartphones, our personal assistants always connected and equipped with many sensors, further reinforced this tendency. And today the craze for “quantified self” wearable devices, for smart home appliances or for other connected devices enable the collection of potentially highly sensitive personal information in domains that were so far out of reach. However, little is known about the actual practices in terms of security, confidentiality, or data exchanges. The end­user is therefore prisoner of a highly asymmetric system. This has important consequences in terms of regulation, sovereignty, and leads to the hegemony of the GAFAs (Google, Amazon, Facebook and Apple). Security, transparency and user control are three key properties that should be followed by all the stakeholders of the smartphone and connected devices ecosystem. Recent scandals show that the reality is sometimes at the opposite.

  The DAPCODS project gathers four renowned research teams, experts in security, privacy and digital economy. They are seconded by CNIL, the French data protection agency. The project aims at contributing along several axes:

  • by analyzing the inner working of a significant set of connected devices in terms of personal information leaks. This will be made possible by analyzing their data flows (and associated smartphone application if applicable) from outside (smartphone and/or Wifi network) or inside, through on­device static and dynamic analyses. New analysis methods and tools will be needed, some of them leveraging on previous works when applicable;

  • by studying the device manufacturers' privacy policies along several criteria (e.g., accessibility, precision, focus, privacy risks). In a second step, their claims will be compared to the actual device behavior, as observed during the test campaigns. This will enable an accurate and unique ranking of connected devices;

  • by understanding the underlying ecosystem, from the economical viewpoint. Data collected will make it possible to define the blurred boundaries of personal information market, a key aspect to set up an efficient regulation;

  • and finally, by proposing a public website that will rank those connected devices and will inform citizens. We will then test the impact of this information on the potential change of behavior of stakeholders.

  By giving transparent information of hidden behaviors, by highlighting good and bad practices, this project will contribute to reduce the information asymmetry of the system, to give back some control to the end­users, and hopefully to encourage certain stakeholders to change practices.

• Title: LEELCO (Low End-to-End Latency COmmunications).

• Duration: 3 years (2015 - 2018).

• Coordinator: Inria PRIVATICS.

• Others partners: Expway.

• Abstract:

  This Inria Innovation Lab aims at strengthening Expway (http://www.expway.com/) commercial offer with technologies suited to real-time data transmissions, typically audio/video flows. In this context, the end-to-end latency must be reduced to a minimum in order to enable a high quality interaction between users, while keeping the ability to recover from packet losses that are unavoidable with wireless communications in harsh environments. In this collaboration we focus on new types of Forward Erasure Correction (FEC) codes based on a sliding encoding windows, and on the associated communication protocols, in particular an extension to FECFRAME (RFC6363) to such FEC codes. The outcomes of this work are proposed to both IETF and 3GPP standardisation organisations, in particular in the context of 3GPP mission critical communication services activity. The idea of this 3GPP activity is to leverage on the 3GPP Evolved Multimedia Broadcast Multicast Services (eMBMS) and on the existing Long Term Evolution (LTE) infrastructure for critical communications and such services as group voice transmissions, live high-definition video streams and large data transmissions. In this context, the advanced FEC codes studied in LEELCO offer a significant improvement both from the reduced latency and increased loss recovery viewpoints compared to the Raptor codes included in the existing standard (https://hal.inria.fr/hal-01571609v1/en/).