Data Security and Privacy Protection

Name: Data Security and Privacy Protection | Second International Conference, DSPP 2024, Xi'an, China, October 25-28, 2024, Proceedings, Part II
Brand: Springer
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Second International Conference, DSPP 2024, Xi'an, China, October 25-28, 2024, Proceedings, Part II

Xiaofeng Chen Xinyi Huang Moti Yung(Editor)

Springer (Publisher)

Published on 17. October 2024

XIV, 268 pages

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978-981-97-8546-9 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Data Computation and Auditing
Secure Multi-way Join Query and Its Bench-Marking with Trusted Execution Environments
1 Introduction
2 Related Works
2.1 Join Query on Encrypted Databases
2.2 TEEs with Encrypted Databases
3 Preliminaries
3.1 Trusted Execution Environments (TEEs)
3.2 Main Binary Join Algorithms
3.3 Oblivious Random Access Machine (ORAM)
4 Optimized Multi-way Join Query Scheme and Its Realizations on TEEs
4.1 Threat Model
4.2 General Design
4.3 Simply Hash-Based Multi-way Join Algorithm
4.4 Sort-Merge Based Multi-way Join Algorithms
4.5 Radix-Based Multi-way Join Algorithms
5 Multi-way Join Query Scheme with Access Pattern Protection and Its Realizations on TEEs
5.1 Threat Model
5.2 General Design
5.3 Radix-Based Multi-way Join with Oblivious Methods
6 Implementation
6.1 Performance of Parallelized Optimizing Multi-way Join Scheme
6.2 Performance of Access-Pattern-Protected Multi-Way Join Scheme
7 Conclusion and Future Work
References
EBVS: An Efficient Pseudonymous Batch Verification Scheme for Vehicular Networks
1 Introduction
2 Related Work
3 The System Model and Definitions
3.1 System Architecture
3.2 Adversary Model Analysis
4 The Proposed Pseudonymous Batch Verification Scheme
4.1 System Initialization Phase
4.2 Vehicle Identity Registration
4.3 Vehicle Message Authentication
4.4 Traffic Safety Blockchain
4.5 Malicious Behavior Monitoring and Prevention
5 Correctness and Security Analysis
6 Performance Evaluation
6.1 Experimental Design
6.2 Computational Cost Analysis
6.3 Communication Cost Analysis
7 Conclusion
References
Enhancing Data Utility in Personalized Differential Privacy: A Fine-Grained Processing Approach
1 Introduction
1.1 Related Works
1.2 Our Motivation and Contributions
1.3 Organization
2 Preliminaries
2.1 Differential Privacy
2.2 Personalized Differential Privacy
2.3 Personalized Differential Privacy System Model
3 The Proposed Mechanism
3.1 Overview of FG-PDP
3.2 Fine-Grained Personalized Differential Privacy Mechanism
4 Simulation Experiments
4.1 Experiment Setting
4.2 Experiment Results
5 Conclusions
A Security Proof of Theorem 3
B Utility Analysis
References
Efficient Identity-Based Dynamic Cloud Storage Data Integrity Auditing with Incremental Updates for Handheld Mobile Devices
1 Introduction
1.1 Related Work
1.2 Contribution
1.3 Organization
2 Preliminaries
2.1 Bilinear Pairing
2.2 Hard Problems
3 System Framework and Security Model
3.1 System Framework
3.2 Security Model
4 The Proposed Protocol
4.1 Overview
4.2 Protocol Description
4.3 Dynamic Operation
5 Security Analysis
6 Performance and Implementation
6.1 Theoretical Analysis
6.2 Experimental Analysis
7 Conclusion
Appendix A : Proof of Theorem 1
Appendix B : Proof of Theorem 2
References
More Efficient Two-Stage Sampling Technique and Its Applications
1 Introduction
1.1 Our Contribution
1.2 Technical Overview
1.3 Related Work
2 Preliminaries
2.1 Notations
2.2 Lattice
2.3 Discrete Gaussian Distribution
2.4 Lattice Trapdoor Sampling
2.5 Lattice Problems
3 Our More Efficient Two-Stage Sampling Method
3.1 Two-Stage Sampling Method ch5EC:LaiLiuWan21
3.2 Our New Two-Stage Sampling Method
4 Construction of IB-FEIP with Our New Sampling Method
4.1 Construction of IB-FEIP
4.2 AD-IND Security
A Supplementary Material of Sect. 4
A.1 ALS Construction
A.2 ALS Parameters
References
Enhancing Utility in Differential Privacy Models Through Feature Extraction and Knowledge Distillation
1 Introduction
2 Related Work
2.1 Optimize the DPSGD Algorithm
2.2 Optimize Model Parameters
3 Preliminaries
3.1 Differential Privacy
3.2 Differentially Private Stochastic Gradient Descent
3.3 Pre-trained Model Feature Extraction
3.4 Knowledge Distillation
4 Method
4.1 Feature Extraction with Pre-trained Models
4.2 Knowledge Distillation for Performance Enhancement
5 Experiment
5.1 Datasets
5.2 Network and Hyperparameters
5.3 Baseline Comparison
5.4 Experimental Results
6 Conclusion
References
Public Auditing with Aggregated Tags for Multiple Users
1 Introduction
1.1 Our Contribution
1.2 Our Approach
1.3 Related Work
2 Preliminaries
2.1 Bilinear Map
2.2 Algebraic Algorithms
2.3 Homomorphic Verifiable Authentication
2.4 Public Auditing
2.5 Multi-signature
3 Formal Definition and Security Model
3.1 Threat and Security Models
4 Our Construction
4.1 Public Auditing for Multiple Users
4.2 Security Analysis
5 Conclusion
References
Append-Only Authenticated Data Sets Based on RSA Accumulator
1 Introduction
2 Related Works
3 AADS Based on RSA Accumulator
3.1 The Definitions of Correctness and Security in AADS
3.2 Initialization Phase
3.3 The FCUT Algorithm
3.4 Element Adding Process
3.5 Proof of (Non-)membership
3.6 Append-Only Authentication Proof
4 Security Analysis
5 Conclusion
References
Decentralized Real-Time IIoT Data Integrity Verification System and Its Comprehensive Analysis
1 Introduction
2 Background
2.1 Blockchain
2.2 System Requirement
3 Designed System
4 System Analysis
5 Conclusion
References
Efficient and Privacy-Preserving Multi-user, Multi-database and Multi-dimensional Range Query
1 Introduction
2 Preliminaries
2.1 Cross Product
3 System Model
3.1 System Model
3.2 Threat Model
3.3 Design Goals
4 Our Proposed Scheme
4.1 3MRQ
4.2 Overview of EP3MRQ
4.3 EP3MRQ
5 Privacy Analysis
5.1 Privacy-Preservation of the DC
5.2 Privacy-Preservation of Users' Queries
6 Implementation and Performance Evaluation
6.1 Experimental Setting
6.2 Computational Cost Evaluation
7 Conclusion
References
System Security
Detection and Identification of Power Quality Disturbance Signals in New Power System Based on Quantum Classic Hybrid Convolutional Neural Networks
1 Introduction
2 Detection and Identification of PQDs Based on QC-CNN
2.1 Problem Statement
2.2 Model Structure of PQDs-QC-CNN
2.3 Data Preprocessing of PQDs
2.4 Layers of PQDs-QC-CNN
2.5 The Algorithm of PQDs-QC-CNN
3 Network Complexity Analysis
4 Experimental Evaluation
4.1 Dataset Setup
4.2 Detection and Identification of PQDs
5 Conclusion
References
The Framework of General Channel Key Generation Based on Physical Layer
1 Introduction
2 Overview of Physical Layer Key Generation
2.1 Theoretical Foundations
2.2 Channel Key Generation Process
3 The Framework of General Channel Key Generation Based on the Physical Layer
3.1 Integrated Utilization of Channel Measurements
3.2 Classification and Identification of Various Scenarios Measurements
3.3 Suitable and Environment-Specific Quantization Strategies
3.4 Dynamic Key Update for Multiple Communications
4 Experimental Analysis and System Demonstration
4.1 The Analysis of the Classification of Various Measurements
4.2 The Analysis of Suitable Quantization Method
4.3 The System Demonstration
5 Conclusion and Future Work
References
MEMS Design Process Based Simulation and Analysis of a Hypothetical Sensor Design with Electromechanics Interface
1 Introduction
1.1 Problem Statement
1.2 Motivation
1.3 Contributions
2 Conceptualization of Capacitive Pressure Sensor
2.1 Problem Statement
3 Proposed Design and Simulation Methodology
4 Results and Discussions
4.1 Electric Potential (V)
4.2 Displacement Magnitude (mm)
4.3 Analysis of Packing Stress on Structural Displacement
4.4 Boundary Loads
4.5 Diaphragm Displacement vs. Pressure
4.6 Model Capacitance vs. Pressure
4.7 Capacitance vs. Operating Temperature
4.8 Comparative Analysis
5 Conclusion
References
Design and Analysis of Piezoelectric Energy Harvester for Wireless Sensor Networks
1 Introduction
1.1 Problem Statement
1.2 Motivation
1.3 Contributions
2 Related Works
3 Perception of Piezoelectric Energy Harvester for Wireless Sensor Networks
3.1 Mathematical Modelling
4 Proposed Design and Simulation Methodology
5 Results and Discussions
5.1 Electric Potential (V)
5.2 Mechanical Stress (N/m2)
5.3 Volume Loads (N/m3)
5.4 Acceleration Dependence vs Voltage and Power
5.5 Load Dependence vs Voltage and Power
5.6 Frequency Response vs Voltage and Power
5.7 Mechanical Stress (N/m2)
6 Conclusion
References
ETD-SAC: A Series-Wise Auto-correlation Mechanism Based Electricity Theft Detector for Smart Grids
1 Introduction
2 Problem Statement
3 The ETD-SAC Approach
3.1 Series Decomposition
3.2 Series Embedding
3.3 Feature Extraction
3.4 Classifier
4 Experiments
4.1 Dataset
4.2 Detection Samples
4.3 Experiment Settings
4.4 Baselines and Metrics
4.5 Performance Comparison
5 Conclusion
References
Author Index

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Data Security and Privacy Protection

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