IoT-comunity Aware Multicast and Broadcast

  • Boussard M.
  • Bui D.
  • Douville R.

In order to secure the Internet of Things, we have proposed to split connected devices into small groups, called as communities of devices. Each of those communities connects devices authorized to communicate with each other using a defined set of applications. To isolate information exchange within each community, the network can be “sliced”, with each slice dedicated to a community. However, this network architecture is not well-fit to multicast and broadcast traffics. This document will expose the specific issues regarding the multicast and broadcast traffics within such an IoT environment. It will propose an appropriate solution to work around the described issues. It will also present an enforcement of such a solution within an OpenFlow framework.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...