Narseo Vallina-Rodriguez

My research interests are on computer networks, analytical measurements, privacy and security with a strong interest in mobile systems.

I received my BA+MsC in Telecommunications Engineering from the University of Oviedo in 2007. My M.S. Thesis was completed at the University of Cambridge, Computer Laboratory as a visitor student working on Haggle Project. In 2008, I joined Vodafone R&D, returning to Cambridge to complete my Ph.D. program under the supervision of Jon Crowcroft. During my PhD I completed three fruitful internships at Deutsche Telekom Labs, TU-Berlin, with Pan Hui and at Telefonica Research with Dina Papagiannaki and Yan Grunenberger. My PhD research was awarded with a Qualcomm Innovation Fellowship in 2012. In July 2013, I joined ICSI as a Post-Doc to work with Prof. Vern Paxson, Nick Weaver and Christian Kreibich on Netalyzr project. In July 2014 I became Research Staff at ICSI. Since 2015, I've dedicated most of my efforts to HayStack project.

Curriculum Vitae


  • Two ICSI papers have been accepted for the ACM IMC 2016.

  • The ICSI Haystack project has been awarded with one of the DTL 2016 Grants.

  • Heise Online has reported about our study on anti-ad-blockers.

  • We have published a preliminary analysis about the privacy leaks inflicted by mobile apps using the data collected through HayStack

  • We just started a new project to understand the mobile ecosystem and the value of personal data called HayStack

  • Our paper about the privacy threats of HTTP header injection practices on mobile ISPs got the best paper award at ACM HotMiddlebox'15

  • Press coverage about HackingTeam scandal. El CNI compra material de espionaje en Italia para colarse en los principales sistemas operativos. El Diario (Spain)

  • Our study of the Android root certificate stores got the best short paper award at ACM CoNext'14

  • Miscellanea

  • Haystack project

  • Netalyzr for Android

  • Google Scholar Profile

  • RilAnalyzr is a cross-layer debugging tool for Android handsets. The source code is publicly available on github