Privacy Enhancing Technologies

1. Front Matter

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2. Session 1: User Profiling

   1. Betrayed by Your Ads!

      • Claude Castelluccia, Mohamed-Ali Kaafar, Minh-Dung Tran

      Pages 1-17

   2. Private Client-Side Profiling with Random Forests and Hidden Markov Models

      • George Danezis, Markulf Kohlweiss, Benjamin Livshits, Alfredo Rial

      Pages 18-37

3. Session 2: Traffic Analysis

   1. Understanding Statistical Disclosure: A Least Squares Approach

      • Fernando Pérez-González, Carmela Troncoso

      Pages 38-57

   2. Website Detection Using Remote Traffic Analysis

      • Xun Gong, Nikita Borisov, Negar Kiyavash, Nabil Schear

      Pages 58-78

   3. k-Indistinguishable Traffic Padding in Web Applications

      • Wen Ming Liu, Lingyu Wang, Kui Ren, Pengsu Cheng, Mourad Debbabi

      Pages 79-99

   4. Spying in the Dark: TCP and Tor Traffic Analysis

      • Yossi Gilad, Amir Herzberg

      Pages 100-119

4. Session 3: Applied Differential Privacy

   1. Secure Distributed Framework for Achieving ε-Differential Privacy

      • Dima Alhadidi, Noman Mohammed, Benjamin C. M. Fung, Mourad Debbabi

      Pages 120-139

   2. Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams

      • T. -H. Hubert Chan, Mingfei Li, Elaine Shi, Wenchang Xu

      Pages 140-159

   3. Adaptive Differentially Private Histogram of Low-Dimensional Data

      • Chengfang Fang, Ee-Chien Chang

      Pages 160-179

5. Session 4: PETs for Cloud Services and Smart Grids

   1. PRISM – Privacy-Preserving Search in MapReduce

      • Erik-Oliver Blass, Roberto Di Pietro, Refik Molva, Melek Önen

      Pages 180-200

   2. Practical Privacy Preserving Cloud Resource-Payment for Constrained Clients

      • Martin Pirker, Daniel Slamanig, Johannes Winter

      Pages 201-220

   3. Fault-Tolerant Privacy-Preserving Statistics

      • Marek Jawurek, Florian Kerschbaum

      Pages 221-238

6. Session 5: Privacy Services

   1. Evading Censorship with Browser-Based Proxies

      • David Fifield, Nate Hardison, Jonathan Ellithorpe, Emily Stark, Dan Boneh, Roger Dingledine et al.

      Pages 239-258

   2. Exploring the Ecosystem of Referrer-Anonymizing Services

      • Nick Nikiforakis, Steven Van Acker, Frank Piessens, Wouter Joosen

      Pages 259-278

7. Session 6: User-Related Privacy Perspectives

   1. Risk Communication Design: Video vs. Text

      • Vaibhav Garg, L. Jean Camp, Katherine Connelly, Lesa Lorenzen-Huber

      Pages 279-298

   2. Use Fewer Instances of the Letter “i”: Toward Writing Style Anonymization

      • Andrew W. E. McDonald, Sadia Afroz, Aylin Caliskan, Ariel Stolerman, Rachel Greenstadt

      Pages 299-318

8. Back Matter

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This book constitutes the refereed proceedings of the 12 th International Symposium on Privacy Enhancing Technologies, PET 2012, held in Vigo, Spain, in July 2012. The 16 full papers presented were carefully selected from 72 submissions. Topics addressed include anonymization of statistics, content, and traffic, network traffic analysis, censorship-resistant systems, user profiling, training users in privacy risk management, and privacy of internet and cloud-bases services. A further highlight is the HotPETS session, designed as a venue to present existing but still preliminary and evolving ideas.

• Web privacy
• anonymization
• information leakage
• phishing
• smart grid
• algorithm analysis and problem complexity

• Karlstad University, Karlstad, Sweden

  Simone Fischer-Hübner

• Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, USA

  Matthew Wright

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