
Security, Privacy, and Anonymity in Computation, Communication, and Storage
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This book constitutes seven refereed workshops and symposiums, SpaCCS Workshops 2020, which are held jointly with the 13th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2020, in Nanjing, China, in December 2020.
The 48 papers were carefully reviewed and selected from 131 submissions and cover a broad range of topics on security, privacy and anonymity in computation communication, and storage, including the 11th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2020), the 10th International Symposium on Trust, Security and Privacy for Emerging Applications (TSP 2020), the 9th International Symposium on Security and Privacy on Internet of Things (SPIoT 2020), the 6th International Symposium on Sensor-Cloud Systems (SCS 2020), the Second International Workshop on Communication, Computing, Informatics and Security (CCIS 2020), the First International Workshop on Intelligence and Security in Next Generation Networks (ISNGN 2020), the First International Symposium on Emerging Information Security and Applications (EISA 2020).
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Content
- Intro
- Preface
- Organization
- Contents
- The 11th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2020)
- EDC: An Edge-Oriented Dynamic Resource Configuration Strategy
- 1 Introduction
- 2 Problem Model and Formulation
- 2.1 System Model
- 2.2 Utility Model
- 2.3 Resource Constraints Model
- 2.4 Real-Time Requirements Analysis
- 2.5 Problem Formulation
- 3 Details of EDC Algorithm
- 3.1 Long-Term Constraint Transformation
- 3.2 Resource Configuration
- 4 EDC Performance on Simulation Experiments
- 4.1 How EDC Ensured Low Latency
- 4.2 The Influence of Hyperparameters
- 4.3 Comparison of Different Algorithms
- 5 Conclusion
- References
- The Future Prospects of Adversarial Nets
- 1 Introduction
- 2 Contemporary Adversarial Attacks and Their Classification
- 2.1 Fast Gradient Sign Method (FGSM)
- 2.2 Carlini and Wagner (C&W)
- 2.3 Projected Gradient Descent (PGD)
- 2.4 Low Memory-BFGS
- 2.5 Iterative Least Likely Class Method
- 3 Adversarial Defenses
- 3.1 Taxonomy of Adversarial Defense Mechanisms
- 4 Conclusion
- References
- Secure Cross-Domain Data Sharing Technology Based on Blockchain
- Abstract
- 1 Introduction
- 2 Secure Cross-Domain Data Sharing Model
- 3 Building Consortium Blockchain
- 3.1 Technical Architecture
- 3.2 Topology
- 4 Cross-Domain Data Storage Architecture Based on Blockchain
- 4.1 Data Storage Architecture Based on Cloud Platform
- 4.2 Conventional Methods for Linking Data to the Chain
- 4.3 Linking Heterogeneous and Morphological Data to the Chain
- 5 Sensitive Data Sharing Mechanism Based on Blockchain
- 5.1 Analysis and Design of Typical Data Sharing Processes
- 5.2 A Mechanism for Ensuring Secure Sharing of Sensitive Data
- 5.3 Private Data Access Mechanism Based on Layered Encryption
- 6 Conclusion
- References
- The 10th International Symposium on Trust, Security and Privacy for Emerging Applications (TSP 2020)
- Microservice-Oriented Edge Server Deployment in Cloud-Edge System
- 1 Introduction
- 2 Problem Descripition of Edge Server Deployment
- 3 Edge Server Deployment Algorithm
- 3.1 Edge Server Deployment Algorithm Based on Enumeration Method
- 3.2 An Approximate Optimal Edge Server Deployment Algorithm Based on Ranking
- 3.3 Optimization Strategy of Edge Computing Service Resource Allocation
- 4 Prototype System
- 5 Experimental Comparison and Simulation Results
- 6 Related Works
- 7 Conclusion
- References
- QoS-Aware Dynamical Resource Scheduling in Cloud Data Centers
- 1 Introduction
- 2 Background
- 2.1 Migration Triggering Strategy Based on Prediction
- 2.2 Virtual Machine Placement Strategy with Probability
- 3 Migration Triggering Strategy Based on Prediction
- 3.1 Virtual Machine Migration Priority
- 3.2 Migration Triggering Strategy Based on Prediction
- 4 Decision Model and Placement Strategy for Virtual Machine Migration
- 4.1 Key Parameters of Virtual Machine Migration
- 4.2 Decision Model for Virtual Machine Migration
- 4.3 Virtual Machine Placement Strategy
- 5 Performance Evaluation
- 5.1 Performance Evaluation of Predictive Migration Strategies
- 5.2 Performance Evaluation of Virtual Machine Migration Decision Model
- 6 Related Work
- 7 Conclusion
- References
- BinSEAL: Linux Binary Obfuscation Against Symbolic Execution
- 1 Introduction
- 2 Related Work
- 3 System Design
- 4 Implementation
- 5 Evaluation
- 5.1 Control Flow Concealing
- 5.2 Resistance to Static Analysis
- 5.3 Obfuscation Overhead
- 6 Conclusion
- References
- Location Based Communication Privacy in Internet of Vehicles Using Fog Computing
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 Fog Computing (FC)
- 3.2 Data Perturbation Technique
- 3.3 Rotation Perturbation
- 3.4 TTP Architecture
- 3.5 Anonymizing Location Information
- 3.6 Adaptive-Interval Cloaking Algorithms
- 4 Results and Analysis
- 5 Conclusions
- References
- The 9th International Symposium on Security and Privacy on Internet of Things (SPIoT 2020)
- The Theory and Practice of Magic Hash Based Attacks on Lightweight Cryptographic Hash Functions in Complex IoT Environments
- 1 Introduction
- 2 The IoT Development Landscape
- 2.1 Implicit Type Conversions
- 2.2 Magic Hashes
- 2.3 Practical Examples of Magic Hash Based Vulnerabilities
- 2.4 The Probability of Finding Magic Hashes
- 3 Magic Hashes in IoT Systems
- 3.1 The Odd One Out
- 4 Computational Results
- 4.1 Lightweight Hash Functions
- 4.2 PHOTON
- 4.3 QUARK
- 4.4 SPONGENT
- 4.5 Hardware Details
- 4.6 The First Known Magic Hashes for Lightweight Hash Functions
- 5 Conclusion
- References
- Efficient Public Key Cryptography Scheme with Equality Test for Heterogeneous Systems in IIoT
- 1 Introduction
- 2 Related Work
- 3 Definition
- 3.1 Preliminaries
- 3.2 System Model
- 3.3 Security Model
- 4 The Construction of the PKC-ET-HS Scheme
- 4.1 Definition
- 4.2 Concrete Construction
- 5 Security Analysis
- 6 Performance Analysis
- 6.1 Implementation Details
- 6.2 Communication and Computation Comparisons
- 7 Conclusion
- References
- The Dark (and Bright) Side of IoT: Attacks and Countermeasures for Identifying Smart Home Devices and Services
- 1 Introduction
- 2 Related Work
- 3 Adversarial Model
- 4 Measurement Set-Up and Data Collection
- 5 Data Processing, Statistics, and Device Identification
- 5.1 Interarrival Times Analysis
- 5.2 Packet Size Analysis
- 5.3 Packet Size and Interarrival Times
- 6 Device and Service Detection in the Wild
- 7 Our Countermeasure: Eclipse
- 8 Conclusion
- References
- Study of Transparent File Encryption Technology on Android Platform
- Abstract
- 1 Introduction
- 2 Android System Architecture
- 3 Principle of Transparent Encryption Technology
- 3.1 File Filter Driven Transparent Encryption Technology
- 4 Design and Implementation of Transparent File Encryption System
- 4.1 Overall Design
- 4.2 Design and Implementation of Encryption and Decryption Module
- 4.3 Design and Implementation of the Whole System
- 4.4 Design and Implementation of Kernel Module
- 5 System Testing
- 6 Conclusion
- References
- SCPAC: An Access Control Framework for Diverse IoT Platforms Based on OAuth2.0
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Framework
- 3.1 Security Requirements of Access Control Mechanisms in IoT Environment
- 3.2 Overview of the Proposed Framework
- 3.3 Security-Enhanced Mutual Authentication and Authorization Procedure Based on OAuth2.0
- 4 Formal Modeling of the Security-Enhanced OAuth2.0
- 5 Conclusion
- Acknowledgments
- References
- The 6th International Symposium on Sensor-Cloud Systems (SCS 2020)
- Adaptive Routing Strategy Based on Improved Q-learning for Satellite Internet of Things
- Abstract
- 1 Introduction
- 2 Introduce of Q-learning Algorithm
- 3 Proposed Strategy
- 4 Simulation Analysis
- 4.1 Simulation Environment
- 4.2 Simulation Results
- 5 Conclusions
- Acknowledgments
- References
- Reliability Evaluation of Sensor Network Based on Information Entropy in Power Grid Planning
- 1 Introduction
- 2 Setting of Index System for Reliability Evaluation of Power Sensor Network
- 3 Reliability Evaluation Model of Power Sensor Network Based on Information Entropy
- 3.1 Evaluation Method of Index Weight - Information Entropy Method
- 3.2 Calculation of Membership Function Value
- 3.3 Basic Steps of Integrated Reliability Evaluation Model of Sensor Network Based on Information Entropy
- 4 Application Examples
- 5 Conclusion
- References
- Intelligent Fault Diagnosis and Response Method Based on GIS and IoT in Power Grid Planning
- 1 Introduction
- 2 Related Work
- 3 The Proposed Fault Diagnosis and Response Method
- 3.1 Proposed Fault Diagnosis Method
- 3.2 Response Method
- 4 System Implementation and Deployment
- 4.1 System Description
- 4.2 Performance Comparison
- 5 Conclusion
- References
- Group Authentication for Sensors in Wireless Body Area Network
- 1 Introduction
- 2 Related Works
- 3 System Model and Security Requirements
- 3.1 System Model
- 3.2 Security Requirements
- 4 Identity Based Aggregate Authentication Scheme
- 4.1 Scheme Design
- 4.2 Correctness
- 5 Scheme Analysis
- 5.1 Security Analysis
- 5.2 Functional Comparison
- 5.3 Efficiency Analysis
- 6 Conclusion
- References
- Automatic Heart Sound Classification Using One Dimension Deep Neural Network
- 1 Introduction
- 2 Proposed Method
- 2.1 Preprocessing
- 2.2 Extract Features and Classification
- 3 Experiments
- 3.1 DNN Training
- 3.2 Experiment Results
- 4 Conclusion
- References
- Indoor Positioning Technology Based on the Fusion of UWB and BLE
- Abstract
- 1 Introduction and Related Work
- 2 UWB Ranging Model Based on Error Correction
- 2.1 SS-TWR Ranging Model
- 2.2 Error Correction for SS-TWR Ranging
- 3 The BLE Ranging Model Based on Segmental Parameter
- 3.1 Data Preprocessing
- 3.2 A Logarithmic Path Attenuation Model Based on Piecewise Parameters
- 4 EKF Location Algorithm
- 5 Experimental Results and Analysis
- 5.1 Establishment of Experimental Environment
- 5.2 Positioning Accuracy
- 5.3 Locating Coordinate Scatter Diagram
- 6 Conclusion
- Acknowledgments
- References
- A User Privacy-Preserving Algorithm in Live Streaming Cloud Platforms
- 1 Introduction
- 1.1 Motivation
- 2 Models and Design Goals
- 2.1 System Model
- 2.2 Privacy Goals
- 3 Our Proposed Privacy-Preserving Algorithm
- 3.1 Overview of the Proposal
- 3.2 Description of the Proposal
- 4 Security Analysis
- 4.1 Broadcaster Privacy
- 4.2 Follower Privacy
- 5 Related Work
- References
- Multi-echelon Vehicle Routing Problem in Sensor-Cloud Architecture with Mobile Sinks
- 1 Introduction
- 2 Problem Formulation
- 3 GPU-Based Parallel Algorithm
- 3.1 Algorithm Framework
- 3.2 Hybrid SA Algorithm
- 3.3 Load Balancing Strategy
- 3.4 Parallelization on GPU
- 4 Experimental Results
- 5 Conclusion and Future Work
- References
- Joint Optimization of Transmission Source Selection and RSU Cache for Vehicular Video Streaming
- 1 Introduction
- 2 System Model and Problem Formulation
- 2.1 System Architecture
- 2.2 Video Layers Model
- 2.3 Transmission Model
- 2.4 Problem Formulation
- 3 Algorithm Design and Algorithm Analysis
- 4 Numerical Experiments and Results
- 4.1 Simulation Scenarios
- 4.2 Simulation Results
- 5 Conclusion
- References
- Who Distributes It? Privacy-Preserving Image Sharing Scheme with Illegal Distribution Detection
- 1 Introduction
- 2 System Implementation
- 2.1 System Architecture
- 2.2 Image Sharing
- 2.3 Information Embedding
- 2.4 Illegal Distribution Detecting
- 3 System Evaluation
- 3.1 Embedding Performance
- 3.2 Security Analysis
- 4 Conclusion
- References
- Stepwise-Refined Interval for Deep Learning to Process Sensor-Cloud Data with Noises
- 1 Introduction
- 2 Related Work
- 2.1 Voice Recognition and Gas Monitoring
- 2.2 Astronomical Wave Signal
- 3 Network Structure Design
- 4 Experiments
- 4.1 Obtaining Training and Test Data
- 4.2 Experimental Details
- 5 Conclusions and Future Works
- References
- Data Prediction Service Model Based on Sequential Pattern Mining in Sensor-Cloud
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Data Prediction Method in Sensor-Cloud
- 3.1 Sequential Pattern Mining Scheme
- 3.2 Prediction Model
- 4 Experiment Results
- 5 Conclusion and Future Works
- References
- Statistical Method of Space Distribution for Riding Based on R-Tree Under Differential Privacy
- 1 Introduction
- 2 Basic Knowledge and Definitions
- 2.1 Differential Privacy
- 2.2 Basic Knowledge of Spatial Index Structure R-Tree
- 2.3 Source of Error
- 3 Statistical Method of Space Distribution for Riding Based on R-Tree Under Differential Privacy
- 3.1 Reference Data
- 3.2 Optimized R-Tree Structure
- 3.3 Differential Privacy Spatial Data Partitioning Publication Algorithm Based on R-Tree
- 4 Experimental Result
- 4.1 Experimental Data and Environment
- 4.2 Comparative Analysis of Query Accuracy
- 4.3 Comparative Analysis of Algorithm Operation Efficiency
- 5 Conclusion
- References
- Multi-target Tracking with EmbedMask and LSTM Model Fusion
- Abstract
- 1 Introduction
- 2 Target Detection Algorithm Based on EmbedMask
- 3 Motion Pose Estimation Based on LSTM Model
- 4 Multi-target Vehicle Tracking Algorithm
- 5 Experimental Results and Verification
- 5.1 Target Detection Experiment Results
- 5.2 Multi-target Vehicle Recognizer Results
- 6 Conclusion
- Acknowledgments
- References
- Face Detection Using Improved Multi-task Cascaded Convolutional Networks
- Abstract
- 1 Introduction
- 2 MTCNN
- 2.1 MTCNN Implementation Process
- 2.2 MTCNN Training Process
- 3 Improved MTCNN
- 3.1 Algorithm Analysis
- 3.2 Improved MTCNN
- 4 Experimental Data and Process
- 4.1 Training Data
- 4.2 Training Process
- 4.3 Experimental Results
- 5 Conclusion
- References
- Access Control Method Based on a Mutual Trust Mechanism in the Edge Computing Environment
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Access Control Method Based on Mutual Trust
- 3.1 Mutual Trust Model Between the User and Edge Server
- 4 Simulation Experiment and Performance Analysis
- 4.1 Edge Server Dynamic Trust Evaluation Method
- 4.2 Model Experiment and Performance Analysis of Mutual Trust Between the User and Edge Server
- 4.3 EUSMTM Model Simulation Experiment and Performance Analysis
- 5 Conclusion
- Acknowledgments
- References
- Increasing Crop Yield Using Agriculture Sensing Data in Smart Plant Factory
- 1 Introduction
- 2 Background
- 2.1 Consider the Control Optimization of Single Variable Within Plant Factory
- 2.2 Consider Combination of Factors Within Plant Factory
- 3 Sensor Data Analysis and Crop Yield Optimization
- 3.1 Introduction to Markov Decision Process for Crop
- 3.2 A Reinforcement Learning Approach
- 3.3 Using DDPG for Crop Management
- 4 Experiments
- 4.1 Simulation Environment
- 4.2 Analysis of the Reward Function and the Learned Strategies
- 5 Conclusion
- References
- A Fuzzy Keywords Enabled Ranked Searchable CP-ABE Scheme for a Public Cloud Environment
- 1 Introduction
- 1.1 Background and Related Works
- 1.2 Our Contribution
- 1.3 Paper Organization
- 2 Preliminaries
- 2.1 Weighted Zone Score
- 2.2 TF-IDF Algorithm
- 2.3 Shingled Keywords
- 2.4 Min Hash and Jaccard Similarity
- 2.5 Access Tree
- 2.6 Two Permute Algorithms
- 3 System Model and Our Proposal
- 3.1 System Model of FKSCP-ABE
- 3.2 Our Proposal
- 4 Security Analysis
- 4.1 Leakage Profiles
- 4.2 Formal Security Proofs
- 5 Analysis and Comparison
- 6 Conclusion
- References
- Identifying Traffic Bottleneck in Urban Road Networks via Causal Inference
- 1 Introduction
- 2 Methodology
- 2.1 Bottleneck Identification Framework
- 2.2 Causality Graphs Construction
- 2.3 Frequent Propagation Patterns Mining
- 3 Experiment Results
- 4 Conclusion
- References
- NAS-WFPN: Neural Architecture Search Weighted Feature Pyramid Networks for Object Detection
- Abstract
- 1 Introduction
- 1.1 A Subsection Sample
- 2 Relate Work
- 2.1 Deep Convolutional Neural Network for Object Detection
- 2.2 Neural Architectures Search
- 2.3 RetinaNet
- 3 Method
- 3.1 Architecture Search Space
- 3.2 Deeply Supervised Anytime Object Detection
- 4 Results and Discussion
- 4.1 Implementation Details
- 4.2 Discovering Feature Pyramid Architectures
- 4.3 Discussions
- 5 Conclusion
- Acknowledgements
- References
- Performance Benchmarking and Optimization for IIoT-oriented Blockchain
- 1 Introduction
- 2 Benchmarking Model
- 2.1 Incorporating Blockchain of IIoT
- 2.2 Problem Statement
- 3 Benchmarking in IIoT Scenario
- 3.1 Implementation
- 3.2 Evaluation
- 4 Optimization Strategies Implementation and Evaluation
- 4.1 Optimization of Resource Efficiency
- 4.2 Fast Synchronization and Database Storage
- 4.3 Validation of Optimization
- 5 Conclusion
- References
- The 2nd International Workshop on Communication, Computing, Informatics and Security (CCIS 2020)
- A Multi-patch Deep Learning System for Text-Independent Writer Identification
- 1 Introduction
- 2 Related Work
- 3 Writer Identification Pipeline
- 3.1 Dataset
- 3.2 Pre-processing
- 3.3 Generation of the Feature Vector
- 3.4 Writer Identification
- 4 Experiments and Results
- 4.1 Evaluation Metrics
- 4.2 Results and Analysis
- 5 Conclusion
- References
- Classification of Abnormal Traces in a Collaborative Fog Computing Architecture
- Abstract
- 1 Introduction
- 1.1 Research Background
- 1.2 Contribution of This Paper
- 2 Related Work
- 3 System Model
- 4 Problem Formation and Methods
- 4.1 Problems and Methods
- 4.2 Basic of Feedforward Neural Networks
- 5 Experiment and Simulation
- 5.1 Trace 1 in Fig. 2
- 5.2 Trace 2 in Fig. 5
- 6 Conclusion
- Acknowledgements
- References
- A Muti-detection Method of Covert Timing Channel Based on Perceptual Hashing
- Abstract
- 1 Introduction
- 2 Background and Related Work
- 2.1 Covert Timing Channels
- 2.2 Detection Tests
- 3 Perceptual Hashing
- 3.1 Perceptual Hash Theory
- 3.2 Detection Model Based on Perceptual Hashing
- 4 Experiment Evaluation
- 4.1 Experiment Setup
- 4.2 Experimental Results
- 5 Conclusion and Future Work
- References
- Deep Learning-Based Dew Computing with Novel Offloading Strategy
- Abstract
- 1 Introduction
- 2 Research Background
- 3 Methodology
- 3.1 Overview
- 3.2 Problem Statement
- 3.3 System Model
- 4 Dataset and Deep Learning Model
- 5 Result and Discussion
- 6 Conclusion and Future Work
- References
- Detecting Credential Stuffing Between Servers
- 1 Introduction
- 2 Related Work
- 2.1 Cuckoo Filter
- 3 Detecting Credential Stuffing
- 3.1 Problem Description
- 3.2 Our Protocol
- 3.3 Server
- 3.4 ROT
- 3.5 Private Set Intersection
- 4 Analysis
- 4.1 Correctness
- 4.2 Security
- 4.3 Computation Complexity and Communication Overheads
- 5 Experiment Results
- 6 Conclusion
- 6.1 Protocol Summary
- 6.2 Possible Improvements
- References
- The 1st International Workshop on Intelligence and Security in Next Generation Networks (ISNGN 2020)
- A Critical Node Detection Algorithm Based Node Interplay Model
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Node Interplay Model
- 3.1 The Defects of Closeness Centrality and GLR
- 3.2 The Relationship Between Distance, Degree and Interplay
- 3.3 The Importance of Node Based Node Interplay
- 4 The GLREX Method Based Node Interplay Model
- 5 Experiments
- 5.1 Real World Networks
- 5.2 Artificial Networks
- 5.3 Complexity Analysis
- 6 Conclusion
- Acknowledgments
- References
- A Posteriori Preference Multi-objective Optimization Using Machine Learning
- 1 Introduction
- 2 Background
- 2.1 Related Work
- 2.2 Basic Definitions
- 2.3 MOEA/D
- 2.4 Random Forest
- 3 Proposed Method
- 3.1 Optimization Part
- 3.2 Learning Part
- 3.3 Operation Part
- 4 Experiments
- 4.1 Experiment About
- 4.2 2- and 3-Objective Experiments
- 5 Conclusions
- References
- HVH: A Lightweight Hash Function Based on Dual Pseudo-Random Transformation
- 1 Introduction
- 2 Experimental Section
- 2.1 Permutation-Based Sponge Construction
- 2.2 VH-Type Permutation
- 2.3 VH-Type Permutation
- 3 Results and Discussion
- 3.1 Implementation Results
- 3.2 Security Evaluation
- 4 Conclusions
- References
- SVHF: A Lightweight Stream Cipher Based on Feistel and OFB
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Design of SVHF
- 3.1 Key Stream Generator KG
- 3.2 SVHF
- 4 Performance Evaluation
- 4.1 Software Implementation
- 4.2 Hardware Performance
- 4.3 Different Devices
- 5 Security Evaluation
- 5.1 Differential Cryptanalysis and Linear Cryptanalysis
- 5.2 Impossible Differential Cryptanalysis
- 6 Conclusion
- Acknowledgement
- References
- A Novel Quantum Color Image Encryption Scheme Based on Controlled Alternate Quantum Walks
- 1 Introduction
- 2 Preliminaries
- 2.1 A Novel Enhanced Quantum Representation (NEQR)
- 2.2 Controlled Alternate Quantum Walks (CAQW)-Based Pseudo-random Number Generator
- 2.3 Dedicated Quantum Circuit Modules for Proposed Scheme
- 3 The Quantum Color Image Encryption and Decryption Scheme
- 4 Analysis Results
- 4.1 Key Space
- 4.2 Statistical Analysis
- 4.3 Differential Attack
- 4.4 Circuit Complexity
- 5 Conclusion
- References
- The 1st International Symposium on Emerging Information Security and Applications (EISA 2020)
- Security Analysis of a Multi-secret Sharing Scheme with Unconditional Security
- 1 Introduction
- 2 Prelimilaries
- 2.1 Perfectness in Single Secret Sharing Schemes
- 2.2 Perfectness in Multi-secret Sharing Schemes
- 2.3 Ghodosi's Results on Perfectness
- 3 Review of Harn's Schemes
- 3.1 Models
- 3.2 The Single Secret Sharing Scheme
- 3.3 The Multi-secret Sharing Scheme
- 4 Threat Analysis of Harn's Schemes
- 4.1 Analysis of the Single Secret Sharing Scheme
- 4.2 Analysis of the Multi-secret Sharing Scheme
- 4.3 Making Harn's Schemes Perfect
- 5 Conclusion
- References
- Simultaneous Deauthentication of Equals Attack
- Abstract
- 1 Introduction
- 2 Wi-Fi Protected Access
- 3 WPA3 Attacks
- 4 Investigating WPA3
- 4.1 Fuzzing WPA3
- 5 WPA3Fuzz
- 6 Fuzzing Environment
- 7 Results
- 7.1 Simultaneous Deauthentication of Equals Attack
- 7.2 Ghost Attack
- 7.3 Deauthentication Attack
- 7.4 Attack Mitigations
- 8 Conclusion and Future Work
- References
- Impact of Active Scanning Tools for Device Discovery in Industrial Networks
- 1 Introduction
- 2 Related Work
- 3 Technical Background
- 3.1 PLC Cycle Time
- 3.2 Network Scanning in Industrial Networks
- 4 Methodology
- 4.1 Setup of the Test Framework
- 4.2 Measurement Process
- 4.3 Network Scanner
- 5 Results and Discussion
- 5.1 Port Scanning with Nmap
- 5.2 Modbus Discovery Scan with NSE modbus-discover
- 5.3 S7 Discovery Scan with NSE s7-info
- 5.4 Application Scanning with ZGrab
- 5.5 Application Scanning with OpenVAS
- 6 Conclusion
- References
- Designing Double-Click-Based Unlocking Mechanism on Smartphones
- 1 Introduction
- 2 Related Work
- 2.1 Unlocking Mechanism
- 2.2 Behavioral Authentication
- 3 Our Proposed Scheme
- 4 User Study
- 5 Conclusion
- References
- An Efficient Blind Signature Scheme with Untraceability for Data Privacy in Smart Grid
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 Notations
- 3.2 Mathematical Hard Problems
- 3.3 Blind Signatures
- 4 Review of Popescu's Scheme
- 5 Cryptanalysis of Popescu's Scheme
- 6 Proposed Blind Signature Scheme
- 7 Performance Analysis
- 8 Conclusion
- References
- Author Index
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