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Bilateral Contracts and Grants with Industry
Bibliography
Bilateral Contracts and Grants with Industry
Bibliography


Section: Partnerships and Cooperations

International Initiatives

Inria International Labs

Inria@EastCoast

Associate Team involved in the International Lab:

HOMENET
  • Title: Home network diagnosis and security

  • International Partner (Institution - Laboratory - Researcher):

    • Princeton (United States) - Computer Science - Nick Feamster

  • Start year: 2017

  • See also: https://team.inria.fr/homenet/

  • Modern households connect a multitude of networked devices (ranging from laptops and smartphones to a number of Internet of Things devices) via a home network. Most home networks, however, do not have a technically skilled network administrator for managing the network, for example to identify faulty equipment or take steps to secure end hosts such as applying security patches. Home networks represent a particularly challenging environment due to the diversity of devices, applications, and services users may connect. The goal of HOMENET is to assist users in diagnosing and securing their home networks. Our approach is based on developing new algorithms and mechanisms that will run on the home router (or in-collaboration with the router). The router connects the home network to the rest of the Internet; it is hence the ideal place to secure home devices and to distinguish problems that happen in the home from those happening elsewhere. We will address a number of research challenges for example in device discovery and fingerprinting, anomaly detection in the Internet of Things, home network diagnosis (including wireless diagnosis). HOMENET will bring together two leading research teams in the network measurement arena with successful prior collaboration. Moreover, Princeton brings an existing home router platform and expertise in security, wireless, and software-defined networks; and Muse brings an existing Web-based measurement platform, and expertise in traffic-based profiling and anomaly detection.

Inria@SiliconValley

Associate Team involved in the International Lab:

MINES
  • Title: Adaptive Communication Middleware for Resilient Sensing & Actuation IN Emergency Response Scenarios

  • International Partner (Institution - Laboratory - Researcher):

    • University of California, Irvine (United States) - Information and Computer Science - Nalini Venkatasubramanian

  • Start year: 2018

  • See also: http://mimove-apps.paris.inria.fr/mines/index.html

  • Emerging smart-city and smart-community efforts will require a massive deployment of connected entities (Things) to create focused smartspaces. Related applications will enhance citizen quality of life and public safety (e.g., providing safe evacuation routes in fires). However, supporting IoT deployments are heterogeneous and can be volatile and failure-prone as they are often built upon low-powered, mobile and inexpensive devices - the presence of faulty components and intermittent network connectivity, especially in emergency scenarios, tend to deliver inaccurate/delayed information. The MINES associate team addresses the resulting challenge of enabling interoperability and resilience in large-scale IoT systems through the design and development of a dedicated middleware. More specifically, focusing on emergency situations, the MINES middleware will: (i) enable the dynamic composition of IoT systems from any and all available heterogeneous devices; (ii) support the timely and reliable exchange of critical data within and across IoT in the enabled large-scale and dynamic system over heterogeneous networks. Finally, the team will evaluate the proposed solution in the context of emergency response scenario use cases.

Inria International Partners

Informal International Partners
  • Northeastern University (Prof. David Choffnes): We are working on methods based on active probing to diagnose poor video quality.

  • Universidade Federal do Rio de Janeiro, Brazil (Prof. Edmundo Souza e Silva): We are working on characterizing Internet bottlenecks.

  • Universidade Federal de Goias, Brazil (Prof. Fabio Costa): We are working on service selection and cloud resource allocation for QoS-aware enactment of service choreographies.