Privacy Enhancing Technologies

Name: Privacy Enhancing Technologies | 12th International Symposium, PETS 2012, Vigo, Spain, July 11-13, 2012, Proceedings
Brand: Springer
Price: 53.49 EUR
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12th International Symposium, PETS 2012, Vigo, Spain, July 11-13, 2012, Proceedings

Simone Fischer-Hübner Matthew Wright(Herausgeber*in)

Springer (Verlag)

Erschienen am 28. Juni 2012

X, 319 Seiten

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978-3-642-31680-7 (ISBN)

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Inhalt

Title
Preface
Organization
Table of Contents
Session 1: User Profiling
Betrayed by Your Ads! Reconstructing User Profiles from Targeted Ads
Introduction
Targeted Advertising: The Case of Google
Inferring Users' Profiles from Targeted Ads
Building Blocks
Extracting Targeted Ads
User-Profile Reconstruction
Experimental Results
Experiment Setup
Evaluation Methodology
Result Analysis
Related Work
Discussion
Conclusion
References
Private Client-Side Profiling with Random Forests and Hidden Markov Models
Introduction
System Overview
Applications
Related Work
Cryptographic Foundations
Zero-Knowledge, Commitments and P-Signatures
Direct Lookups
Random Forests
Vanilla Training and Resolution of Random Forests
Encoding of Features and Trees
Private Resolution for Random Forests
Extensions
HMMs, Probabilistic Automata and Regular Languages
Vanilla Matching for Hidden Markov Models
Encoding of Hidden Markov Models
Private Matching
Simplifications for Finite Automata and Regular Languages
Discussion
Security
Efficiency of Proposed Schemes
Conclusion
References
Session 2: Traffic Analysis
Understanding Statistical Disclosure: A Least Squares Approach
Introduction
Related Work
System Model
A Least Squares Approach to Disclosure Attacks
Analysing One Round of Mixing
Analysing Rounds
Performance Analysis with Respect to the System Parameters
Evaluation
Experimental Setup
Success Metrics
Results
Discussion
Conclusion
References
Website Detection Using Remote Traffic Analysis
Introduction
Remote Traffic Analysis
Queuing Side Channel
Traffic Pattern Recovery Algorithm
Website Fingerprinting
Time Series-Based Feature
Training Environment
Attack Scenarios
Evaluation
Measurement of DSL Probe Variance
Attack Setups and Data Collection
Website Detection
Deanonymization
Discussion
Related Work
Conclusion
References
k-Indistinguishable Traffic Padding inWeb Applications
Introduction
The Model
The Basic Model
Privacy and Cost Model
The SVMD and MVMD Cases
PPTP Problems
Padding Method
The SVSD and SVMD Cases
MVMD Problem
The Algorithms
The svsdSimple Algorithm
The svmdGreedy Algorithm
The mvmdGreedy Algorithm
Evaluation
Experimental Setting
Communication Overhead
Computational Overhead
Processing Overhead
Extension and Discussion
Extension to l-Diversity
Implementation Issues
Related Work
Conclusion
References
Spying in the Dark: TCP and Tor Traffic Analysis
Introduction
Related Works
Our Contributions
Paper Organization
Model
Mallory - Off-path Adversary
Eve - Adversary for Anonymized Connections
Attack Evaluation Criteria
Globally-Incrementing Identifier Based Traffic Analysis
Port-test for a Client Behind a Firewall/NAT
Improving the Search: Client Port Allocation Algorithms
Empirical Evaluation
Time-Based Traffic Analysis
Timing-Based Port Test
Empirical Evaluation
Traffic Analysis for Tor Clients
The Indirect Rate Reduction Attack
Analysis
Empirical Evaluation
Defense Mechanisms
Conclusions and Future Work
References
Session 3: Applied Differential Privacy
Secure Distributed Framework for Achieving-$\epsilon$Differential Privacy
Introduction
Related Work
Background
Privacy Model
Security Model
Two-Party Differentially Private Data Release
Notation and Preliminaries
Anonymization Algorithm
Two-Party Protocol for Exponential Mechanism
Max Utility Function
Distributed Exponential Mechanism
Analysis
Performance Analysis
Experiments
Cost Estimates
Discussion
Conclusion
References
Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams
Introduction
Results and Contributions
Related Work
Preliminaries
Notations and Conventions
Problem Setup
Defining Privacy
Defining Utility
Achieving Differential Privacy
Roadmap
Private Misra-Gries Algorithm
Private Continual Heavy-Hitter Monitoring over a Sliding Window
Privately and Continually Monitoring Heavy Hitters Across Distributed Streams
Achieving Aggregator Obliviousness
Background on Special Encryption Scheme
Augmenting PMG Algorithm with Secure Bloom Filters
Distributed Protocol Achieving Aggregator Obliviousness
Experiments
Experimental Setup
Results
References
Adaptive Differentially Private Histogram of Low-Dimensional Data
Introduction
Background
Differential Privacy and Laplace Noise
Isotonic Regression
Locality-Preserving Mapping
Datasets
Proposed Approach
Security Analysis
Analysis and Parameter Determination
Error Function
Effects on Isotonic Regression
Effect on Generalization Noise
Determining the Group Size k
Comparisons
Equi-width Histogram
Range Query
Median
Discussion and Future Work
Hybrid Method
Effect of Dimension
Related Work
Conclusion
References
Session 4: PETs for Cloud Services and Smart Grids
PRISM - Privacy-Preserving Search in MapReduce
Introduction
Problem Statement and Adversary Model
Background
MapReduce
Trapdoor Group Private Information Retrieval
PRISM Protocol
Upload
Search
Result Analysis
PRISM Analysis
Privacy
Statistical Analysis
Evaluation
Setup
Results
Related Work
Conclusion
References
Practical Privacy Preserving Cloud Resource-Payment for Constrained Clients
Introduction
Scenario and High Level Description
Entities
Scenario
High Level Description of the Operations
Privacy Issues
Background and Preliminaries
Anonymous Cloud Resource Scheme
Trusted Platforms
Practical Anonymous Payment
Implementation
Specifications
Results
Discussion
Discussion
Related Work
Conclusion and Outlook
References
Fault-Tolerant Privacy-Preserving Statistics
Introduction
Contributions
Communication
Accuracy
Fault-Tolerance
Group Key Management
Synchronization
Security
Prerequisites
Differential Privacy
Paillier Cryptosystem
Protocol Description
Naive Protocol
Malicious Behavior
Freshness of Data Items
Distributed Key-Managing Authorities
Zero Knowledge Proof
Properties
The Final Protocol
Related Work
Summary and Conclusion
References
Session 5: Privacy Services
Evading Censorship with Browser-Based Proxies
Introduction
Threat Model and Assumptions
Rapid Proxy Creation Using Flash Proxies
Establishing Connections
Experimenting with Ephemeral Flash Proxies
Throughput
Switching between Proxies
Capacity
Field Testing
Discussion
Security and Privacy
Usability
Deployment Scenarios
Rendezvous Protocols
Related Work
Conclusions
References
Exploring the Ecosystem of Referrer- Anonymizing Services
Introduction
Background
Referrer Header
Referrer Use-Cases
Referrer Abuse-Cases
Referrer-Anonymizing Services
Taxonomy of RASs
Redirection Mechanism
Delay and Advertising
Mass Anonymization
Background Activity
Information Leakage
Experimental Setup
Results
User Categorization
Ethical Considerations
Hiding Advertising Infrastructures
Remote Image Linking
Web-Mashups
Tracking of Anonymizers
Related Work
Conclusion
References
Session 6: User-Related Privacy Perspectives
Risk Communication Design: Video vs. Text
Introduction
Background and Related Work
Methodology
Results
Nine Dimensional Model
Regression Analysis: Perceived Risk vs. Nine Dimensions Model
Factor Analysis
Discussion
Conclusion and Future Work
References
Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization
Introduction
Related Work
Problem Statement
Approach
JStylo: An Authorship-Attribution Platform
Anonymouth: An Authorship-Anonymization Framework
Anonymouth User Study
Evaluation and Results
Effectiveness of JStylo
Effectiveness of Anonymouth
Effect of the Background Corpus on Anonymity
Effect of Feature Set on Anonymity
Change in Features
User Experience Survey
Discussion
Future Work
Conclusion
References
Author Index

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