
Secure Data Managment
Description
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Content
- Title
- Preface
- Organization
- Table of Contents
- Privacy Protection and Quantification
- Quantifying Privacy Violations
- Introduction
- Related Work
- Modeling Privacy
- Privacy Violations
- Defining the House and Data Providers
- Definition of Privacy Violation
- Severity of Privacy Violation
- Sensitivity
- Privacy Violation Measurement
- Definition of Data Provider Default
- A Simple Example
- Expansion of the Privacy Policies for a House
- Contributions of the Framework and Next Steps
- References
- On-the-Fly Generalization Hierarchies for Numerical Attributes Revisited
- Introduction and Motivation
- On-the-Fly Hierarchies for Numerical Attributes
- Information Loss Measures Used in Data Anonymity
- Experimental Results
- Conclusions and Future Work
- References
- LORA: Link Obfuscation by Randomization in Graphs
- Introduction
- Preliminaries
- Graph Notation
- Hierarchical Random Graph and Its Dendrogram Representation
- Entropy
- LORA: The Big Picture
- Link Obfuscation by Randomization with HRG
- Link Equivalence Class
- Link Replacement
- Hide Weak Ties and Retain Strong Ties
- Privacy Analysis
- The Joint Link Entropy
- Link Obfuscation Vs Node Obfuscation
- Randomization by Link Obfuscation vs Edge Addition/Deletion
- Experimental Studies
- Graph Statistics
- Privacy Analysis
- Related Work
- Conclusion
- References
- Security in Cloud and Sensor Networks
- A Comprehensive Framework for Secure Query Processing on Relational Data in the Cloud
- Introduction
- Related Work
- System and Attacker Model
- System Model
- Attacker Model
- Data Encryption and Dispersal by ``Salted'' IDA
- Information Dispersal Algorithm (IDA)
- ``Salted'' IDA
- Secure Cloud Data Access
- Overview
- Organization of Index
- Organization of Data Tuples
- Secure Column Access via Proxies
- Query Processing
- Security Analysis
- On Data Confidentiality
- On Data Integrity and Availability
- Experimental Evaluation
- Implementation and Setup
- Experimental Results
- Conclusion
- References
- Challenges in Secure Sensor-Cloud Computing
- Introduction
- An Overview of Sensor-Cloud Service
- Emerging Topics in Securing the Sensor-Cloud Services
- Dimension 1: Secure Preprocessing
- Dimension 2: Secure Processing
- Dimension 3: Secure Runtime
- Summary of Research Directions
- Conclusion
- References
- SensorSafe: A Framework for Privacy-Preserving Management of Personal Sensory Information
- Introduction
- Related Work
- Design Considerations
- Architecture Overview
- SensorSafe Framework
- Remote Data Stores
- Broker
- Privacy Rule-Aware Data Collection
- Authentication
- Application Examples
- Conclusion and Future Work
- References
- Secure Data Management Technologies
- Watermarking for Adaptive Streaming Protocols
- Introduction
- Solution Description
- References Randomization
- HTTP Live Streaming Example
- Discussion
- Scalability of the Solution
- Security of the Solution
- Conclusions
- References
- Conjunctive Wildcard Search over Encrypted Data
- Introduction
- Preliminaries
- Definitions
- Security Definitions
- Constructions
- The Basic Index Scheme
- The Masked Index Scheme
- Properties
- Wildcard Add-On
- Security Proof
- Performance
- Conclusion
- References
- Adjusting the Trade-Off between Privacy Guarantees and Computational Cost in Secure Hardware PIR
- Introduction
- Related Work
- Preliminaries
- System Architecture
- Adversarial Model
- Private Page Retrieval Algorithm
- Algorithm
- Security Analysis
- Database Updates
- Secure Hardware Deployment
- Conclusions
- References
- Purpose Control: Did You Process the Data for the Intended Purpose?
- Introduction
- Running Example
- A Framework for Purpose Control
- Basic Concepts and Notation
- Data Protection Policies
- Organizational Processes
- Audit Trails
- Alignment
- Compliance with Purpose Specification
- Properties of the Algorithm
- Related Work
- Conclusions
- References
- Author Index
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