Measurement, Privacy, and Mobility (MPM 2012)

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• A content delivery perspective to mobility in the Internet
  
  Prof Steve Uhlig (Queen Mary, University of London, UK)
  Abstract: With the recent deployment of data-centers across the Internet, more and more services, such as content delivery, are being delivered from massively distributed infrastructures. These infrastructures enable a new type of mobility, where the location of services to adapt to changes in the demand and user locations. The Future Internet will therefore not only have mobility at the user side, but within the core of the network at the server side as well. In this talk, we'll review the extent of the deployment of content delivery infrastructures in today's Internet and discuss the implications on the dynamics of the network.
  
  Bio: Steve Uhlig is the Professor of Networks at Queen Mary, University of London, and the head of the networks group. He obtained a Ph.D. degree in Applied Sciences from the University of Louvain, Belgium, in 2004. From 2004 to 2006, he was a Postdoctoral Fellow of the Belgian National Fund for Scientific Research (F.N.R.S.). His thesis won the annual IBM Belgium/F.N.R.S. Computer Science Prize 2005. Between 2004 and 2006, he was a visiting scientist at Intel Research Cambridge, UK, and at the Applied Mathematics Department of University of Adelaide, Australia. Between 2006 and 2008, he was with Delft University of Technology, the Netherlands. Prior to joining Queen Mary, he was a Senior Research Scientist with Technische Universitat Berlin/Deutsche Telekom Laboratories, Berlin, Germany. His current research interests revolve around Internet measurements, software-defined networking, content delivery, and network infrastructure virtualization.

• SecureSafe: A Highly Secure Online Data Safe (Industrial Use Case)
  Marc Rennhard (Zurich University of Applied Sciences), Michael Tschannen and Tobias Christen (DSwiss AG)
  
• A model of Information Flow Control to Determine Whether Malfunctions Cause the Privacy Invasion
  David Evans (University of Cambridge), David M. Eyers (University of Otago), and Jean Bacon (University of Cambridge)
  
• Next Place Prediction using Mobility Markov Chains
  Sébastien Gambs (Universite de Rennes 1 - INRIA / IRISA) , Marc-Olivier Killijian, and Miguel Nunez (Universite de Rennes 1 - INRIA / IRISA)
  
• ANOSIP: Anonymizing the SIP Protocol
  Iraklis Leontiadis (Institute Eurecom), Constantinos Delakouridis, Leonidas Kazatzopoulos, and Ioannis Marias (Athens University of Business and Economics)
  

• Online Privacy: From Users to Markets to Deployment
  
  Dr Vijay Erramilli (Telefónica I+D Research, Spain)
  Abstract: One of the main reasons for the rise of online services, and indeed the wide scale adoption of the Internet has been the 'services-for-free' model. Popular online services like search, email social networks etc are offered for free to users, and in return personal information (PI) of users is collected and monetized primarily via online advertisements. The collection and exploitation of PI of users has attracted the attention of privacy advocates, regulatory bodies and of late, the mainstream media as well. However, even as many different privacy preserving solutions have been proposed, none of them have been adopted for various reasons, while the situation on the ground vis-a-vis erosion of privacy has been getting worse. In this talk, i'll describe a different approach to online privacy, via the lens of economics. I'll first describe the setup and the results of a large scale user study where the purpose is to extract the monetary value users attach to different types of their personal information online. The results point to a market based solution towards privacy. I'll then describe a solution called Transactional privacy that tries to realise a market for personal information. However, proposing a solution for privacy is merely half the matter. I'll then discuss the conditions necessary for various parties to adopt a privacy solution such as the market, and discuss the road to deployment. In order to study our solution and deployment strategies, we used large datasets from millions of users.
  
  Bio: Vijay Erramilli is a permanent staff member of the research team at Telefonica Digital, Barcelona. He obtained his PhD from Boston University in Dec. 2008, working with Prof. Mark Crovella and has been with Telefonica since then. During his PhD, he worked with researchers from Technicolor Paris and Intel Research. His primary research interests are network measurements and algorithms. He has worked on various problems in mobile networks, social networks and of late online privacy.

• Confidential Carbon Commuting
  Chris Elsmore, Anil Madhavapeddy, Ian Leslie, and Amir Chaudhry (University of Cambridge)
  
• The Impact of Trace and Adversary Models on Location Privacy Provided by K-anonymity
  Volkan Cambazoglu and Christian Rohner (Uppsala University)
  

• An Empirical Study on IMDb and its Communities Based on the Network of Co-Reviewers
  Maryam Fatemi and Laurissa Tokarchuk (Queen Mary University of London)
  
• Providing Secure and Accountable Privacy to Roaming 802.11 Mobile Devices
  Panagiotis Georgopoulos, Ben McCarthy, and Christopher Edwards (Lancaster University)
  
• When Browsing Leaves Footprints - Automatically Detect Privacy Violations
  Hans Hofinger, Alexander Kiening, and Peter Schoo (Fraunhofer Research Institution for Applied and Integrated Security AISEC)