October 30, 2017

Connectivity graph reconstruction for networking cloud infrastructures

  • Dubus S.
  • Kanoun W.
  • Mensah P.
  • Morin C.
  • Piolle G.
  • Totel E.

Cloud providers have an incomplete view of their hosted virtual infrastructures managed by a Cloud Management System (CMS) and a Software Defined Network (SDN) controller. For various security reasons (e.g. isolation verification, modeling attack paths in the network), it is necessary to know which virtual machines can interact via network protocols. This requires building a connectivity graph between the virtual machines, that we can extract with the knowledge of the overall topology and the deployed network security policy. Existing methodologies for building such models for physical networks produce incomplete results. Moreover, they are not suitable for cloud infrastructures due to either their intrusiveness or lack of connectivity discovery. We propose a method to compute the connectivity graph, relying on information provided by both the CMS and the SDN controller. Connectivity can first be extracted from knowledge databases, then dynamically updated on the occurrence of cloud-related events. This approach shows an exact, complete and up-to-date connectivity graphs computation on a representative infrastructure, in reasonable time.

View Original Article

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 ...