September 18, 2017

Securing VNF communication in NFVI

  • Ahola K.
  • Kalliola A.
  • Lal S.
  • Oliver I.
  • Taleb T.

In a modern telco cloud, network functions are performed by groups of single or interconnected virtual machines (VMs), which form virtualized network functions (VNFs). Securing these VNFs is both important and challenging, since the VNFs might be performing some mission critical operations and exchanging sensitive information among each other. The problem lies in the implementation of current cloud infrastructure where security of traffic is not considered at large. The exchanged traffic among VNFs is mostly unencrypted and subject to eavesdropping. In this paper, we present possible approaches along with the implementation setup to solve the problem of securing communication among VNFs. We also discuss performance overhead measurements of our testbed setup along with relevant challenges and directions for future work.

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 ...