Passive content curation based on HTTP logs

  • Ben Houidi Z.
  • Finamore A.
  • Mellia M.
  • Scavo G.
  • Teixeira R.
  • Traverso S.

Content curation refers to assisting users to identify relevant and interesting content in the overwhelming amount of online content available today. Existing content curation services rely either on experts or on the wisdom of the crowds to promote content. This paper designs HotNet, a passive, crowdsource-based content curation system. HotNet requires no active user engagement to promote content. Instead, it extracts the URLs users visit from traffic traversing an ISP network to identify popular content. A key challenge to design such passive curation system is to process network traffic in real-time to identify the small set of URLs that are interesting to users. HotNet contains a set of heuristics to identify the set of URLs users visit and to select the sub-set that are interesting to users. We evaluate HotNet using traces collected at a large European access ISP and in a deployment in a campus network.

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 ...