
Cyberspace Safety and Security
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The 61 full papers and 40 short papers presented were carefully reviewed and selected from 235 submissions. The papers cover a broad range of topics in the field of cyberspace safety and security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace. They are organized in the following topical sections: network security; system security; information security; privacy preservation; machine learning and security; cyberspace safety; big data and security; and cloud and security;
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Content
- Intro
- Preface
- Organization
- Contents - Part I
- Contents - Part II
- Network Security
- Research and Application of Anomaly Detection of Industrial Control System Based on Improved Zoe Algorithm
- Abstract
- 1 Introduction
- 2 The Analysis of Zoe Algorithm
- 3 The Sequence Coverage Similarity Algorithm
- 4 ICS Anomaly Detection Based on Improved Zoe Algorithm
- 5 Analysis of Experimental Simulation Results
- 5.1 Evaluation Criteria
- 5.2 Datasets
- 5.3 Experimental Results and Analysis
- 6 Summary and Outlook
- Acknowledgements
- References
- An Intrusion Detection Method Based on Hierarchical Feature Learning and Its Application
- Abstract
- 1 Introduction
- 2 Overview of CNN-Based Intrusion Detection Algorithms
- 3 Intrusion Detection Method Based on Hierarchical Feature Learning
- 4 Experimental Results and Performance Analysis
- 4.1 Data Sets and Evaluation Indicators
- 4.2 Experimental Results
- 5 Conclusions and Future Work
- Acknowledgements
- References
- Spoofing Attack Detection for Radar Network System State Estimation
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 Radar Measurement and State Estimation
- 2.2 Spoofing Attacks
- 3 Attack Detection Principles and Methods
- 4 Data Fusion
- 5 Simulation
- 6 Conclusion
- References
- Survey of Network Security Situational Awareness
- 1 Introduction
- 2 Overview of Network Security Situational Awareness
- 3 Functions of Network Security Situational Awareness
- 3.1 Extraction of Network Security Situation Elements
- 3.2 Evaluation of Network Security Situation
- 3.3 Prediction of Network Security Situation
- 4 Development Trend of Network Security Situational Awareness
- 5 Conclusion
- References
- Encrypting VoLTE Communication via Baseband Firmware Extension
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 HOOK
- 2.2 VoLTE and RTP
- 3 Encryption Design
- 3.1 Key Agreement
- 3.2 Encryption Algorithm
- 4 Hooking and Patching Framework
- 5 Implement
- 5.1 Hook Packet Sending and Receiving Functions
- 5.2 Encryption and Decryption
- 6 Results and Analysis
- 6.1 Agreement Key
- 6.2 Data Encryption and Decryption
- 6.3 Performance Evaluation
- 7 Conclusions
- Acknowledgment
- References
- Mitigating Link-Flooding Attack with Segment Rerouting in SDN
- 1 Introduction
- 2 Background and Related Work
- 2.1 Link-Flooding Attack
- 2.2 SDN and Segment Routing
- 2.3 Previous Studies on LFA Defense
- 3 System Model
- 4 Segment Rerouting
- 5 Performance Evaluation
- 6 Conclusion
- References
- System Security
- BQSV: Protecting SDN Controller Cluster's Network Topology View Based on Byzantine Quorum System with Verification Function
- 1 Introduction
- 2 Preliminaries
- 2.1 Background
- 2.2 Threat Model
- 3 Byzantine Quorum System with Verification Function
- 3.1 Verification Function
- 3.2 The Effectiveness of BQSV
- 3.3 Detail Process Steps
- 4 Implementation and Experiment
- 4.1 Implementation
- 4.2 Experiments
- 5 Related Work
- 6 Conclusion
- References
- A Data Protection Scheme via Isolating Android Partitions
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Encryption Solution
- 2.2 Security Domain Solution
- 3 Design
- 3.1 Summary
- 3.2 Performance Overhead
- 3.3 The Isolation Between Normal and Private Zone
- 3.4 The Switch Between Normal and Private Zone
- 4 Implementation
- 4.1 Configuration of TF Card
- 4.2 Switching the States
- 4.3 Encryption of Private Zone
- 5 Evaluation
- 5.1 Test Results
- 5.2 Performance Evaluation
- 5.3 The Speed of Switching Evaluation
- 5.4 Security Evaluation
- 5.5 Performance Evaluation of Different TF Cards
- 6 Limitation and Future Work
- 7 Conclusions
- Acknowledgment
- References
- A Code Protection Scheme via Inline Hooking for Android Applications
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Dex File Structure
- 2.2 Android Hook Framework
- 3 Scheme
- 3.1 Instructions Extraction
- 3.2 Instructions Storage
- 3.3 Instructions Restoration
- 4 Experiment
- 4.1 Configure and Use Hooking Framework in the Project
- 4.2 Process and Install APK
- 4.3 Evaluation
- 5 Conclusion
- Acknowledgment
- References
- Log-Based Control Flow Attestation for Embedded Devices
- 1 Introduction
- 2 Background and Related Work
- 2.1 Remote Attestation
- 2.2 ARM Architecture
- 2.3 TrustZone
- 2.4 Physical Unclonable Functions
- 3 Threat Model and Assumption
- 4 Design
- 4.1 Design Overview
- 4.2 Design Details
- 5 Implementation
- 5.1 Architecture
- 5.2 Instrumentation
- 5.3 Optimization
- 5.4 OP-TEE Integration
- 6 Evaluation
- 6.1 Experimental Setup
- 6.2 Log Length
- 6.3 Performance
- 7 Security
- 7.1 Code Injection Attack
- 7.2 Code Reuse Attack
- 8 Conclusion
- References
- A New Algorithm for Retrieving Diffuse Attenuation Coefficient Based on Big LiDAR Bathymetry Data
- Abstract
- 1 Introduction
- 2 Theory of Retrieving {\varvec K}_{{\varvec d}} from ALB Dataset
- 3 Experiments
- 3.1 Optech Aquarius System and Dataset
- 3.2 Calculation
- 3.3 Validation
- 4 Conclusion
- Acknowledgments
- References
- Shuffle Dense Networks for Biometric Authentication
- 1 Introduction
- 2 Related Work
- 2.1 Dense Connections
- 2.2 Residual Learning
- 2.3 Grouped Convolutions
- 3 Method
- 3.1 Dense Connections with Residual Learning
- 3.2 Shuffle Dense Connections
- 3.3 Network Structure
- 4 Experiments
- 4.1 Datasets and Metrics
- 4.2 Implementation Details
- 4.3 Study of the Shuffle Operation
- 4.4 Comparison with Other Methods
- 5 Conclusion
- References
- Information Security
- An Efficient Attribute Based Encryption Scheme in Smart Grid
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 Bilinear Maps
- 2.2 Complexity Assumptions
- 2.3 Security Model
- 3 Description of Our System
- 3.1 System Model
- 3.2 Basic Scheme
- 3.3 Enhanced Scheme
- 4 Security Analysis
- 5 Performance Evaluation
- Acknowledgment
- References
- Attribute-Based Signatures for Inner-Product Predicate from Lattices
- 1 Introduction
- 2 Preliminaries
- 2.1 Attribute-Based Signatures for IP Predicate
- 2.2 Background on Lattices
- 3 The Underlying Interactive Protocol
- 3.1 Some Sets and Matrices
- 3.2 Some Techniques
- 3.3 The Underlying Protocol
- 4 The ABS-IP Scheme from Lattices
- 4.1 Description of the Scheme
- 4.2 Analysis of the Scheme
- References
- Efficient and Secure Three-Factor User Authentication and Key Agreement Using Chaotic Maps
- 1 Introduction
- 1.1 Related Work
- 1.2 Our Contributions
- 1.3 Organization
- 2 Preliminaries
- 2.1 Notations
- 2.2 Fuzzy Extractor
- 2.3 Chebyshev Chaotic Map
- 2.4 Network Model
- 2.5 Requirements
- 3 Review of Han et al.'s Scheme
- 3.1 Registration Phase
- 3.2 Login and Authentication Phase
- 3.3 Password and Biometric Change Phase
- 4 Security Weaknesses of Han et al.'s Scheme
- 4.1 Lack of Protection of User Anonymity
- 4.2 Flaws in the Validation of Timestamp
- 5 Proposed Scheme
- 5.1 Registration Phase
- 5.2 Login and Authentication Phase
- 5.3 Password and Biometric Change Phase
- 6 Analysis
- 6.1 Proof of Authentication and Key Agreement Using BAN Logic
- 6.2 Security Analysis Against Various Attacks
- 7 Comparison of Our Scheme with Related and Recently Proposed Schemes
- 8 Conclusion
- References
- Achieving Data Security, Access Control and Authentication of Controllers in Hierarchical Software Defined Networking with Attribute Based Encryption
- 1 Introduction
- 2 Related Work
- 3 System Model
- 3.1 The Model of LC Accessing RC
- 3.2 The Model of RC Accessing LC
- 4 Construction of Our Proposed Scheme for Controllers in HSDN
- 4.1 Algorithm Model of CP-ABE-IA
- 4.2 Algorithm Model of KP-ABSC-MAS
- 5 Conclusion
- References
- ECC2: Error Correcting Code and Elliptic Curve Based Cryptosystem
- 1 Introduction
- 2 Preliminaries
- 2.1 Linear Codes and Code-Based Cryptography
- 2.2 Algebraic Geometry Codes and List Decoding Algorithms
- 2.3 Hard Problems on Elliptic Codes
- 3 McEliece Based Cryptosystem from Elliptic Codes
- 3.1 Generate Elliptic Codes
- 3.2 The Basic Scheme: ECC2
- 3.3 Transform to Key Encapsulation Mechanism
- 4 Security and Efficiency
- 4.1 IND-CPA
- 4.2 Known Attacks
- 4.3 Proposition of Parameters
- 5 Efficiency Analysis
- 6 Conclusion
- References
- A New Provably Secure Identity-Based Multi-proxy Signature Scheme
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 Bilinear Pairings
- 2.2 Computational Assumption
- 3 Definition and Security Model of Identity-Based Multi-proxy Signature
- 3.1 Definition of Identity-Based Multi-proxy Signature
- 3.2 Security Model of Identity-Based Multi-proxy Signature
- 4 Identity-Based Multi-proxy Signature Scheme
- 5 Analysis of Our Scheme
- 5.1 Correctness
- 5.2 Security Proof of Our Scheme
- 5.3 Efficiency Comparison
- 6 Conclusion
- Acknowledgements
- References
- Privacy Preservation
- A Differentially Private Trajectory Publishing Mechanism Based on Stay Points
- 1 Introduction
- 2 Preliminaries
- 2.1 Trajectory and Stay Points
- 2.2 Differential Privacy
- 2.3 TF-IDF
- 2.4 Data Availability
- 3 Differentially Private Trajectory Publication Mechanism Based on Stay Points
- 3.1 Differentially Private Stay Points Selection
- 3.2 Two-Dimensional Laplacian-Based Trajectory Publication
- 3.3 Algorithm Analysis
- 4 Experiments
- 4.1 Experiment Setup
- 4.2 Availability Evaluation
- 5 Conclusion
- References
- Data Privacy Protection in Medical Alliance Chain Based on K-Anonymity
- Abstract
- 1 Introduction
- 1.1 Risks of Medical Data Sharing and Data Privacy Protection Method of Medical Alliance Chain Based on K-Anonymity and QLDS
- 2 Algorithm
- 2.1 Symbolic Description
- 2.2 Algorithm Description
- 3 Experiment
- 3.1 Experimental Results and Analysis
- 3.2 Energy Consumption Analysis
- 4 Conclusion
- Acknowledgements
- References
- IMES: An Automatically Scalable Invisible Membrane Image Encryption for Privacy Protection on IoT Sensors
- 1 Introduction
- 2 Approach
- 2.1 Scenarios
- 2.2 Requirements
- 2.3 Approach
- 2.4 The Processing Steps of Data Encryption Algorithm
- 3 System Design and Implementation
- 3.1 Key Generation
- 3.2 IoT Device Requests Invisible Membrane
- 3.3 Cloud Generates Invisible Membrane
- 3.4 Invisible Membrane Encryption
- 3.5 Decrypt Image
- 4 Performance Analyses
- 5 Conclusion
- References
- Privacy-Awareness Fair Contract Signing Protocol Based on Blockchain
- 1 Introduction
- 2 A New RSA Blind Signature Scheme
- 2.1 RSA Blind Signature Scheme
- 3 Fair Contract Signing Protocol
- 3.1 Fair Contract Signing Protocol
- 3.2 Performance Evaluation
- 4 Conclusions
- References
- Efficient Privacy Protection Authentication Scheme in Vehicle Ad Hoc Networks
- Abstract
- 1 Introduction
- 2 System Model
- 3 Solution
- 3.1 System Initialization
- 3.2 Certificate Distribution for RSUs
- 3.3 Certificate Distribution of Vehicles
- 3.4 Secure Group Key Distribution and Batch Authentication
- 3.5 Periodic Update of Group Key
- 4 Cooperative Certification
- 5 Safety Analysis
- 6 Conclusion
- Acknowledgment
- References
- Cooperative Privacy Preservation for Internet of Vehicles with Mobile Edge Computing
- 1 Introduction
- 2 Related Works
- 3 Virtual Vehicle Shadow Based Cooperative Privacy Preservation Scheme
- 3.1 System Initialization
- 3.2 Predictive Location Based Privacy Preservation for the Moving Vehicles
- 3.3 Segmented Secret Based Privacy Preservation for the Parked Vehicles
- 4 Security and Performance Analysis
- 4.1 Security Analysis
- 4.2 Performance Analysis
- 5 Conclusions
- References
- Machine Learning and Security
- DeT: Defending Against Adversarial Examples via Decreasing Transferability
- 1 Introduction
- 2 Background
- 2.1 Threat Model
- 2.2 Deep Neural Networks
- 2.3 Adversarial Examples
- 2.4 Common Attacks
- 2.5 Common Defenses
- 3 Our Defense Method
- 3.1 Preliminary Denoising
- 3.2 Random Sampling
- 3.3 Twice Denoising
- 3.4 Prediction Voting
- 4 Evaluation
- 4.1 Setup
- 4.2 Effectiveness of Cross Training
- 4.3 Evaluation Against Black Box Attacks
- 4.4 Evaluation Against the Gray Box Attack
- 4.5 Comparison with the State-of-the-Art Defense
- 5 Conclusion
- References
- ADS-B Data Attack Detection Based on Generative Adversarial Networks
- 1 Introduction
- 2 Related Work
- 2.1 ADS-B
- 2.2 Novelty Detection with GAN
- 3 Attack Detection Model
- 3.1 ADS-B Data Model
- 3.2 GAN Model
- 3.3 Attack Behavior Analysis
- 4 Experiment Analysis
- 5 Discussion
- 6 Conclusion
- References
- Stealthy and Sparse False Data Injection Attacks Based on Machine Learning
- Abstract
- 1 Introduction
- 2 State Estimation and LR Based FDI Attacks
- 2.1 State Estimation
- 2.2 LR Based FDI Attacks
- 3 FDI Attacks Based on RLR
- 4 Results and Discussion
- 4.1 Test System
- 4.2 Simulations Analysis
- 5 Conclusion
- References
- Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
- 1 Introduction
- 2 Related Works and Background
- 2.1 Related Works
- 2.2 Background
- 3 Proposed End-to-End System
- 3.1 Attack Phase
- 3.2 Detection Phase
- 4 Implementation and Results
- 4.1 Datasets
- 4.2 Implementation
- 4.3 Results
- 5 Conclusion
- References
- An Improvement of the Degradation of Speaker Recognition in Continuous Cold Speech for Home Assistant
- Abstract
- 1 Introduction
- 2 Database (PBSD) Construction
- 3 Speaker Recognition Test
- 3.1 Feature Extraction and Model Training
- 3.2 Voice Aging
- 3.3 Cold-Suffering Voice
- 4 Model Updating Strategy
- 4.1 Cold/Healthy Voices Discrimination
- 4.2 Cold-Based Speaker Recognition Phrase
- 4.3 Experimental Results
- 5 Conclusion
- Acknowledgment
- References
- Evading PDF Malware Classifiers with Generative Adversarial Network
- Abstract
- 1 Introduction
- 2 Background
- 2.1 PDF Structure
- 2.2 MalGAN
- 3 Scheme
- 3.1 Feature Extraction
- 3.2 Training GANs for Generating Adversarial Vectors
- 3.3 Crafting Adversarial PDF Malware Examples
- 4 Experiment
- 4.1 Datasets
- 4.2 Classifiers
- 4.3 GAN Models
- 4.4 Results
- 5 Related Works
- 6 Conclusion
- Acknowledgment
- References
- Cyberspace Safety
- Non-linguistic Features for Cyberbullying Detection on a Social Media Platform Using Machine Learning
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Multi-dimensional Feature Set for Cyberbullying Detection
- 3.1 Feature Set Layer Structure
- 3.2 Feature Set Dimension Structure
- 4 Cyberbullying Detection Using the Proposed Multi-dimensional Feature Set
- 4.1 Machine Learning Models for Cyberbullying Detection
- 4.2 Dataset Collection
- 4.3 Dataset Screening
- 4.4 Dataset Preparation
- 4.5 Classification
- 5 Experimental Results
- 6 Conclusions and Future Work
- References
- Another Look at a Proposed Cubic Chaotic Mapping
- Abstract
- 1 Introduction
- 2 A Cubic Chaotic Mapping Revisited
- 3 A Simple Pseudorandom Bit Generator
- 4 Conclusion
- Acknowledgments
- References
- Research on Drug Regulation Mode in the Age of the Internet of Things
- Abstract
- 1 An Overview of the Internet of Things
- 1.1 The Concept of the Internet of Things
- 1.2 Features of the Internet of Things
- 1.3 The Application of the Internet of Things in Domestic Related Fields
- 2 A Summary of China's Drug Regulatory Code
- 2.1 The Definition of China's Drug Regulatory Code Network
- 2.2 The Basic Form of Drug Electronic Regulatory Code
- 2.3 The Theory of the Internet of Drug Supervision and Code in China
- 3 The Significance of the Internet of Things Technology in the Electronic Supervision of Drugs
- 3.1 Realize Real-Time Monitoring and Guarantee the Quality and Safety of Drug Circulation
- 3.2 Realizing the Effective Tracking of the Whole Process of Drug Circulation
- 3.3 Enriching the Content of Drug Supervision and Improving the Ability of Drug Regulation
- 3.4 Greatly Simplifying the Work of Pharmaceutical Enterprises and Improving the Efficiency of Drug Electronic Supervision
- 4 New Model of Drug Regulation in the Era of Internet of Things
- 4.1 Electronic Supervision in the Field of Drug Circulation
- 4.2 Drug Electronic Supervision Under the Technology of Internet of Things
- 5 Construction of China's Drug Safety Supply Chain Supervision Model
- 5.1 Non Supply Chain Drug Safety Supervision Model and Existing Problems
- 5.2 Construction of Regulatory Model of Drug Safety Supply Chain in China
- 5.3 Characteristics of the Mode of Drug Safety Supply Chain Supervision
- 6 Discussion of Potential Problems
- 6.1 Stability of Work Platform
- 6.2 Data Security Problem
- 7 Conclusion
- Acknowledgement
- References
- Privacy-Aware Service Migration for Edge Computing in Urban Cities
- 1 Introduction
- 2 Related Work
- 3 System Model and Problem Formulation
- 3.1 Resource Model
- 3.2 Load Balance Analysis of ENs
- 3.3 Transmission Time Analysis
- 3.4 Privacy Entropy Analysis
- 3.5 Problem Definition
- 4 A Privacy-Aware Service Migration Method for Edge Computing in Urban Cities
- 4.1 Encoding
- 4.2 Fitness Functions and Constraints
- 4.3 Initialization
- 4.4 Selection
- 4.5 Crossover and Mutation
- 4.6 Schedule Selection Using SAW and MCDM
- 4.7 Method Review
- 5 Experiment Evaluation
- 5.1 Experimental Context
- 5.2 Performance Evaluation
- 6 Conclusion and Future Work
- References
- A Certificateless Aggregate Signature Scheme Based on Blockchain for EMR
- Abstract
- 1 Introduction
- 2 Preliminaries
- 2.1 Trapdoor Hash Function
- 2.2 System Model
- 3 Certificateless Aggregate Signature Scheme Based on Multi-trapdoor Hash Function
- 4 Efficiency Analysis
- 5 Conclusion
- Acknowledgments
- References
- The Fuzzy Integral Evaluation Method Based on Feature Weighting for the Level of Complex Social Development
- Abstract
- 1 Introduction
- 2 Fuzzy Integral
- 2.1 Fuzzy Measure
- 2.2 Fuzzy Integral of Fuzzy Measure
- 2.3 Fuzzy Distribution Function
- 2.4 Constructing the Value of g?
- 2.5 Algorithm Process
- 3 Fuzzy Integral Evaluation Method
- 3.1 Determine the Evaluation Index
- 3.2 Determine the Satisfaction of Each Factor and the Weight Distribution of Each Factor Among the Evaluated Objects
- 3.3 Ascertain the Evaluation Value of the Complex Development Level of the Society
- 3.4 The Experiment
- 4 Conclusions
- Acknowledgement
- References
- Big Data and Security
- Big Data Based E-commerce Search Advertising Recommendation
- 1 Introduction
- 2 Architecture of Search Advertising System
- 3 Data Preparation
- 4 Basic Process of Search Advertising Recommendation
- 5 Experiments and Analysis
- 6 Conclusion
- References
- File Recovery of High-Order Clearing First Cluster Based on FAT32
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Theory of File Deletion and Recovery of FAT32
- 3.1 FAT32 File System
- 3.2 Fragmentation
- 3.3 File Identification
- 3.4 Analysis of File Deletion Operations
- 4 The Proposed Algorithm of High-Order Clearing First Cluster Based on FAT32
- 4.1 Recover Methods of High Level Clearing
- 4.2 The Proposed Algorithm
- 5 Experimental Results and Analysis
- 6 Conclusion
- Acknowledgements
- References
- Mobile Recommendation Method for Fusing Item Features and User Trust Relationship
- Abstract
- 1 Introduction
- 2 Related Research Work
- 3 Mobile Recommendation Algorithm Based on EMD
- 3.1 Similarity Calculation of Mobile Users Based on EMD
- 3.2 The Trust Relation of Mobile Users
- 3.3 Score Prediction
- 3.4 Recommended Process Description
- 4 Experiment and Analysis
- 4.1 Experimental Data Set
- 4.2 Evaluation
- 4.3 Experimental Results and Analysis
- 5 Conclusion
- Acknowledgment
- References
- Research on Collaborative Filtering Recommendation Method Based on Context and User Credibility
- Abstract
- 1 Introduction
- 2 Analysis of the Traditional Collaborative Filtering
- 2.1 The Description of Traditional Collaborative Filtering
- 2.2 Traditional Collaborative Filtering Problem Analysis
- 3 Collaborative Filtering Recommendation Model Based on Context and User Credibility
- 3.1 User Context Description
- 3.2 User Credibility
- 3.3 Recommendation Algorithm
- 4 Collaborative Filtering Recommendation Method Based on MapReduce
- 5 Experiment and Analysis
- 6 Conclusion
- Acknowledgment
- References
- Multi-watermarking Algorithm for Medical Image Based on NSCT-RDWT-DCT
- Abstract
- 1 Introduction
- 2 Theoretical Background
- 2.1 Non-Subsampled Contourlet Transform (NSCT)
- 2.2 Redundant Discrete Wavelet Transform (RDWT)
- 3 The Proposed Algorithm
- 3.1 Feature Extraction
- 4 Experimental Result and Analysis
- 4.1 Attacks
- 4.2 Algorithms Comparison
- 5 Conclusions
- References
- An Improved Container Scheduling Algorithm Based on PSO for Big Data Applications
- 1 Introduction
- 2 Related Work
- 3 Improved Container Scheduling Algorithm Based on PSO Algorithm
- 3.1 Basic Definition
- 3.2 Improvement of Kube-Scheduler Optimization Process
- 3.3 Improvement Based on Particle Swarm Optimization
- 4 Experimental Environment and Results Analysis
- 4.1 Experimental Environment
- 4.2 K-PSO and Basic PSO Algorithm Comparison Experiment
- 4.3 K-PSO Scheduling and Comparison of Existing Scheduling Strategies
- 4.4 Analysis of Experimental Results
- 5 Conclusion
- References
- Cloud and Security
- A Secure Density Peaks Clustering Algorithm on Cloud Computing
- Abstract
- 1 Introduction
- 2 Preliminaries
- 3 Basic Security Primitives
- 3.1 Existing Security Protocol
- 3.2 The Proposed Protocol
- 4 Algorithm Description
- 4.1 Security Density Peak Clustering Algorithm Based on Grid
- 4.2 Security Analysis
- 4.3 Complexity Analysis
- 5 Performance Evaluation
- 6 Conclusion
- Acknowledgment
- References
- Research on Cloud Computing Security Problems and Protection Countermeasures
- 1 Introduction
- 2 Overview of Cloud Computing
- 2.1 The Concept of Cloud Computing
- 2.2 Cloud Computing Model
- 2.3 Six Characteristics of Cloud Computing
- 3 Cloud Computing Security Analysis
- 3.1 Data Security
- 3.2 Technology Security
- 3.3 Application Security
- 3.4 Other Safety Issues
- 4 Research on Cloud Computing Security System and Protection Countermeasures
- 4.1 Establish Elastic Cloud Security System
- 4.2 Security Countermeasures for Cloud Computing
- 5 Conclusion
- References
- Research on Logistics Distribution Vehicle Scheduling Algorithm Based on Cloud Computing
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 The Model and Its Analysis
- 3.1 Logistics Resources Scheduling Problem
- 3.2 Distribution Vehicle Scheduling Under Improved Genetic Algorithm
- 3.3 Algorithm Analysis of the Model
- 3.4 Algorithm Flow Under Cloud Computing
- 4 Conclusions
- Acknowledgement
- References
- Cloud Security Solution Based on Software Defined Network
- 1 Introduction
- 2 Software-Defined Networks and Related Technologies
- 2.1 Software-Defined Network
- 2.2 Open Flow Protocol
- 2.3 Software Defined Security Services
- 3 Cloud Security Solution Model Based on Software-Defined Network
- 3.1 The Three Dimensions of the Model
- 3.2 Security Service Framework
- 3.3 The Advantages of a Cloud Security Model Based on Software Definitions
- 4 Summary
- References
- An Optimized Multi-Paxos Consensus Protocol for Practical Cloud Storage Applications
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Preliminary Knowledge
- 3.1 How Multi-Paxos Protocol Works
- 3.2 Problem Statement
- 4 Our Solution: An Optimized Multi-paxos Protocol
- 5 Evaluation
- 6 Conclusion
- Acknowledgments
- References
- A Blockchain Based Searchable Encryption Scheme for Multiple Cloud Storage
- 1 Introduction
- 2 Preliminaries
- 2.1 Blockchain and Smart Contract
- 2.2 InterPlanetary File System
- 2.3 Notations
- 2.4 System Model and Threat Model
- 3 The Proposed Scheme
- 3.1 Detailed Design of Ciphertext Retrieval System Based on Blockchain
- 4 Security and Performance Analysis
- 4.1 Security Analysis
- 4.2 Storage Performance Analysis
- 5 Conclusion
- References
- Correction to: Efficient and Secure Three-Factor User Authentication and Key Agreement Using Chaotic Maps
- Correction to: Chapter "Efficient and Secure Three-Factor User Authentication and Key Agreement Using Chaotic Maps" in: J. Vaidya et al. (Eds.): Cyberspace Safety and Security, LNCS 11982, https://doi.org/10.1007/978-3-030-37337-5_15
- Author Index
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