Cyberspace Safety and Security

Name: Cyberspace Safety and Security | 11th International Symposium, CSS 2019, Guangzhou, China, December 1-3, 2019, Proceedings, Part II
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11th International Symposium, CSS 2019, Guangzhou, China, December 1-3, 2019, Proceedings, Part II

Jaideep Vaidya Xiao Zhang Jin Li(Herausgeber*in)

Springer (Verlag)

Erschienen am 3. Januar 2020

XXI, 602 Seiten

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Inhalt

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Network Security
IoT-Based DDoS Attack Detection and Mitigation Using the Edge of SDN
Abstract
1 Introduction
2 Related Work
2.1 Host-Based
2.2 Network-Based
3 DDoS Detection and Mitigation Framework
3.1 Attack Scenario
3.2 Framework Components
3.3 Operation of the Mechanism
4 Performance Evaluation
4.1 Experimental Settings
4.2 Analysis of the Results
5 Conclusion and Future Work
Acknowledgements.
References
Location Consistency-Based MITM Attack Detection in 802.11ad Networks
1 Introduction
2 Related Work
2.1 Sector Sweep Process in IEEE 802.11ad
2.2 The MITM Attack
2.3 MITM Detection and IEEE 802.11ad Security
3 Location Consistency-Based MITM Detection
3.1 Basic Idea
3.2 BFI Table Inconsistency-Based MITM Detection
3.3 Location Inconsistency-Based MITM Detection
4 Simulation and Discussion
4.1 Simulator Design
4.2 Simulation Results
4.3 Discussion
5 Conclusion
References
Multi-view DDoS Network Flow Feature Extraction Method via Convolutional Neural Network
Abstract
1 Introduction
2 Related Work
2.1 DDoS Attack Detection Method Based on Statistics
2.2 DDoS Attack Detection Method Based on Machine Learning
2.3 DDoS Attack Detection Method Based on Deep Learning
3 Framework of This Paper
4 Data Initialization
4.1 Binary Conversion
4.2 Formal Conversion
4.3 Sampling by Time
4.4 Channel Merging
5 Network Flow Feature Extraction via Multi-view
5.1 Input Data Initialization
5.2 Feature Extraction
6 Experiment
6.1 Dataset and Evaluation Criteria
6.2 Comparison of Experimental Results
7 Conclusion
Acknowledgement
References
DDoS Attack Detection Method Based on V-Support Vector Machine
Abstract
1 Introduction
2 Related Work
2.1 Attack Detection Method Based on Statistics
2.2 Attack Detection Method Based on Machine Learning
3 DDoS Attack Characteristics
3.1 Analysis of DDoS Attack Characteristics
3.2 Data Normalization
3.3 Feature Extraction Based on Principal Component Analysis
4 Detection Method of DDoS Attack Based on V-SVM
4.1 Detection Model of DDoS Attack Based on V-SVM
4.2 Determination of the Kernel Function of the Classification Model
4.3 Determination of V-Values of Classification Model Parameters
4.4 Detection Process of Attack Detection Method
5 Experimental Results and Analysis
5.1 Experimental Environment
5.2 Analysis of Experimental Results of Kernel Function and Parameter V Value
5.3 Comparison and Analysis of Three Models
6 Conclusion and Future Work
6.1 Conclusion
6.2 Future Work
Acknowledgments
References
DDOS Multivariate Information Fusion Model Based on Hierarchical Representation Learning
Abstract
1 Introduction and Related Work
2 Construction of Multi-source DDOS Information Fusion Model
3 Information Fusion Algorithms Based on Hierarchical Representation Learning
3.1 Hierarchical Representation Learning
3.2 Network Flow Merging Algorithm
3.3 Verification Model
4 Experiment and Analysis
4.1 Modeling and Merging of Training Flow
4.2 Comparisons with Various Detection Methods
5 Conclusion
Acknowledgements
References
A Method of Malicious Bot Traffic Detection
Abstract
1 Introduction
2 Overview of Malicious Bot Traffic
2.1 Malicious Bot Traffic Detection Problem
3 Design of Malicious Bot Traffic Detection Algorithm Based on SVM
3.1 Support Vector Machine
3.2 Feature Scaling of Data
3.3 PCA Dimensionality Reduction
3.4 Support Vector Machine Kernel Function Selection
3.5 Parameter Selection of Kernel Function Support Vector Machine
4 Implementation of Malicious Bot Traffic Detection Platform
5 Summary
Acknowledgement
References
Intrusion Detection Traps within Live Network Environment
Abstract
1 Introduction
2 Concept of Traps
2.1 Concept Architecture
2.2 Alerting
2.3 Traps Description
3 Implementation of the Proposed Traps
4 False Positive and False Negative Errors
5 Discussion on the Solution
6 Conclusion
References
System Security
A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms
1 Introduction
2 Problem-Statement
3 Methodology
3.1 Conformal Prediction
4 Evaluation
4.1 Experimental Dataset
4.2 Case Study
5 Conclusion
References
Boosting Training for PDF Malware Classifier via Active Learning
Abstract
1 Introduction
2 Related Works
3 Background
3.1 PDF File Structure
4 Scheme
4.1 Classifier
4.2 Mutual Agreement Analysis
5 Experiment
5.1 Dataset
5.2 Evaluation
6 Conclusion
Acknowledgment
References
Malicious Intentions: Android Internet Permission Security Risks
Abstract
1 Introduction
2 Preliminaries
2.1 Android Security Features
2.2 Related Work
3 Methodology
4 Proof of Concept Malicious Application
5 Discussion and Proposed Solutions
6 Conclusion
Acknowledgement
References
DeepWAF: Detecting Web Attacks Based on CNN and LSTM Models
Abstract
1 Introduction
2 Related Work
3 DeepWAF
3.1 Architecture of DeepWAF
3.2 Preprocessing the HTTP Request
3.3 CNN- and LSTM-Based Detection Models
4 Experiments
4.1 Data Preparation
4.2 Parameter Settings and Evaluating Criteria
4.3 Experimental Results
5 Conclusion
References
Research on Intrusion Detection Based on Semantic Re-encoding and Multi-space Projection
Abstract
1 Introduction
2 Residual Network (ResNet)
3 Semantic Re-encoding and Multi-space Projection Based Classification (SRMPC)
3.1 Network Traffic Semantic Re-encoding
3.2 Multi-space Projection
4 Experiment Results
4.1 Hduxss_data1.0 Data Set
4.2 NSL-KDD Data Set
5 Summary
Acknowledgement
References
Software Defect Prediction Model Based on GA-BP Algorithm
Abstract
1 Introduction
2 Constructing a Software Defect Prediction Model Based on GA-BP Algorithm
2.1 Construction of GA-BP Defect Prediction Model
3 Experiment of Software Defect Prediction Model Based on GA-BP Algorithm
3.1 Experimental Data
3.2 Experimental Process
4 Experimental Results and Analysis
4.1 Model Evaluation Criteria
4.2 Experimental Data Analysis
5 Conclusions
Acknowledgements
References
Security Solution Based on Raspberry PI and IoT
Abstract
1 Introduction
2 Literature Review
3 Methodology
4 Design
4.1 Notification System
4.2 Object Positioning System
4.3 Security
4.4 Performance
5 Conclusion
References
Information Security
Design of Anonymous Communication Protocol Based on Group Signature
1 Introduction
2 A New Group Signature Scheme
2.1 Mathematical Foundation
2.2 Security Analysis
3 Anonymous Communication Protocol Based on Group Signature
3.1 Packet Structure During Forwarding
3.2 Anonymous Communication Protocol Security
3.3 Anonymous Communication Protocol Efficiency Analysis
4 Conclusions
References
Research on K-Means Clustering Algorithm Over Encrypted Data
Abstract
1 Introduction
2 Related Work
3 Security Protocol
3.1 Secure Multiplication Protocol
3.2 Secure Distance Computing Protocol
3.3 Security Comparison Protocol
4 HK-Means?+?+?Algorithm Over Encrypted Data
4.1 Improved K-Means Algorithm
4.2 HK-Means+?+?Algorithm Over Encrypted Data
5 Evaluation
6 Conclusion
Acknowledgments
References
Requester-Centric CP-ABE Combining Removing Escrow and Outsourcing Decryption
1 Introduction
2 Priliminaries
2.1 Bilinear Maps
2.2 Linear Secret-Sharing Schemes
3 System Model
4 Basic Structure
4.1 Setup
4.2 Key Generation
4.3 Encryption
4.4 Decryption
4.5 Correctness
5 Escrow-Free Structure
6 Proposed Algorithm
6.1 Encryption
6.2 Key Transformation
6.3 Outsourced Decryption
6.4 Local Decryption
6.5 Correctness
7 Security Analysis
7.1 Basic Structure Security
7.2 Escrow-Free Guarantee
7.3 Outsourced Security Guarantee
7.4 Outsourced Decryption Security
8 Conclusion
References
An Efficient Dynamic Group Signatures Scheme with CCA-Anonymity in Standard Model
Abstract
1 Introduction
1.1 Related Work
1.2 Our Contributions
2 Cryptographic Assumptions and Tools
2.1 Bilinear Pairings and Cryptography Assumptions
2.2 Cryptography Tools
3 Dynamic Group Signature Scheme Definition
4 CCA Anonymous Dynamic Group Signature Scheme
4.1 Initialization Algorithm
4.2 Join/Issue Protocol
4.3 Sign Algorithm
4.4 Verify Algorithm
4.5 Open Algorithm
4.6 Judge Algorithm
5 Security and Performance Analysis
5.1 Security Analysis
5.2 Security and Performance Analysis
6 Conclusion
References
An Efficient Property-Based Authentication Scheme in the Standard Model
Abstract
1 Introduction
2 Preliminaries
2.1 Bilinear Pairing
2.2 Assumptions
2.3 Property-Based Attestation
2.4 PBA Security Model
3 Our Scheme
3.1 Setup Algorithm
3.2 Join Algorithm
3.3 Attest Algorithm
3.4 Verify Algorithm
3.5 Check Algorithm
4 Security and Performance Analysis
4.1 Security Proof
4.2 Performance Analysis
5 Summary
References
Group Identification via Non-threshold Leakage-Resilient Secret Sharing Scheme
1 Introduction
1.1 Our Contributions
2 Preliminaries
3 Our Protocol
3.1 PROTOCOL : Non-threshold Secret Sharing Scheme via Linear Codes
4 Security Analysis of PROTOCOL
4.1 Properties from PROTOCOL
4.2 Theorems from PROTOCOL 2
5 Group Identification via PROTOCOL
6 Conclusions and Future Work
References
A Standard Model Secure Verifiably Encrypted Signature Scheme Based on Dual System
Abstract
1 Introduction
2 Preliminaries
2.1 Decisional Bilinear Diffie-Hellman Assumption [12]
2.2 Decisional Linear Assumption [12]
3 Our Scheme
3.1 The Concrete Scheme
3.2 Proof of Security
4 Conclusion
References
Lightweight Encryption Algorithm Containing SPN Structure for IoT
Abstract
1 Introduction
2 SPN-Based Block Cipher
2.1 The Encryption Process
2.2 P-Box Mix
2.3 P-Box Shift
2.4 Encryption and Decryption Algorithm
2.5 Key Expansion Algorithm
3 Security Analysis
3.1 S-Box Maximum Differential and Linear Probability
3.2 P-Displacement Diffusivity
3.3 Upper Bound of Two Rounds Cipher
3.4 Analysis of Algorithms
4 Conclusion
Acknowledgment
References
A Blind Watermarking Scheme Using Adaptive Neuro-Fuzzy Inference System Optimized by BP Network and LS Learning Model
Abstract
1 Introduction
2 Background
2.1 A Subsection Sample
2.2 A Subsection Sample
3 Proposed Algorithm
3.1 A Subsection Sample
3.2 A Subsection Sample
4 Results and Discussion
4.1 Simulation Results
4.2 A Subsection Sample
5 Conclusions
Acknowledgement
References
Towards Secure Computation of Similar Patient Query on Genomic Data Under Multiple Keys
1 Introduction
1.1 Our Contributions
2 Preliminaries
2.1 Building Blocks
2.2 Threat Model
3 Proposed Framework
3.1 Framework Participants
3.2 Execution Description
3.3 Security and Efficiency Analysis
4 Conclusions
References
Secure and Dynamic Outsourcing Computation of Machine Learning in Cloud Computing
1 Introduction
1.1 Our Contributions
2 Preliminaries
2.1 Definitions and Notations
3 Problem Formulation
3.1 System Model
3.2 Attack Model
4 Cryptographic Protocols
4.1 Secure Computation of the BCP Cryptosystem
4.2 Secure Computation of Dynamic Secret Sharing Scheme
4.3 Secure Restoration Protocol
4.4 Secure Computation of Active Function (SeAcf)
5 Privacy-Preserving Neural Networks
5.1 Set up Phase
5.2 Training Phase
5.3 Semi-honest Security
6 Conclusion and Future Work
References
A Biometric Key Generation Method for Fingerprint and Finger Vein Fusion
Abstract
1 Introduction
2 Overview of Fingerprint Recognition and Finger Vein Recognition Technology
2.1 The Basic Principle of Fingerprint Recognition
2.2 The Basic Principle of Finger Vein Recognition
3 Design of Our Method
3.1 Fingerprint and Finger Vein Blind Alignment Technology
3.2 Extraction Fingerprint and Finger Vein Fusion Bio-Key Features
4 Experiment Result
4.1 Performance
5 Summary
Acknowledgement
References
A Fingerprint and Voiceprint Fusion Identity Authentication Method
Abstract
1 Introduction
2 Overview of Fingerprint and Voiceprint Recognition
2.1 Feature Detection
2.2 Pattern Matching
3 Design of Our Method
3.1 Fingerprint and Voiceprint Fusion Authentication Template Generation
3.2 Fingerprint and Voiceprint Dual Biometric Fusion Certification
4 Experiment Result
4.1 Performance
5 Summary
Acknowledgement
References
Trust and Privacy
Research and Application of Trusted Service Evaluation Model in Social Network
1 Introduction
2 System Model
3 Trusted Service Evaluation Model
3.1 A New Digital Signature Scheme
3.2 Generation and Submission of Comments
4 Analysis of Simulated Experiments
5 Conclusions
References
Effective L-Diversity Anonymization Algorithm Based on Improved Clustering
1 Introduction
2 Related Work
2.1 Data Masking Technique
2.2 K-Anonymity Algorithm
2.3 L-Diversity Algorithm
3 Improved Algorithm
3.1 Motivation and Design Idea
3.2 Algorithm Description
4 Evaluation
4.1 Experiment
4.2 Algorithm Analysis
5 Conclusions
References
Semantic Location Privacy Protection Based on Privacy Preference for Road Network
Abstract
1 Introduction
2 Preliminaries
2.1 Related Definition
2.2 System Model
3 Adjustable Semantic Location Privacy Protection Scheme
4 Experiment and Analysis
4.1 Experiment Data Sets and Parameter Settings
4.2 Analysis of Experimental Results
5 Conclusion
Acknowledgement
References
Efficient Privacy Preserving Cross-Datasets Collaborative Outlier Detection
1 Introduction
2 Preliminaries
2.1 Outlier Detection
2.2 Secure Computation
3 Defining Private Outlier Detection
3.1 Problem Formulation
3.2 Security Definition
4 Privacy Preserving Outlier Detection
4.1 Privacy-Preserving LDOF Outlier Detection Protocol
4.2 The Offline Phase
4.3 Security Discussion
5 Experimental Evaluation
5.1 Experimental Setup
5.2 Results and Discussion
6 Conclusion and Future Work
References
An SVM Based Secural Image Steganography Algorithm for IoT
Abstract
1 Introduction
2 Related Work
3 LSB Steganography Optimization Based on SVM
4 Selection of Image Block Feature Value
4.1 Variance
4.2 The Overall Discrepancy
4.3 SC Match
4.4 Smoothness
5 Simulation and Result Analysis
6 Conclusion
7 Acknowledgements
References
A Blockchain-Based Mobile IOT Network Interconnection Security Trusted Protocol Model
Abstract
1 Introduction
2 Security Case Study
2.1 Research Ideas
2.2 Research Process
2.3 Statement of Problem
3 Analysis of the Problem
4 Solution
4.1 Framework of the Proposed Model
4.2 Analysis of Model Safety and Difficulty in Generalization
5 Conclusion
Acknowledgment
References
Privacy-Preserving Attribute-Based Multi-keyword Search Encryption Scheme with User Tracing
1 Introduction
1.1 Organization
2 Preliminaries
2.1 Multilinear Maps
2.2 Access Structure
2.3 Generic Group Model
2.4 -Strong Diffie-Hellman (-SDH) Assumption
2.5 Shamir's Threshold Scheme
2.6 System Framework
3 Formal Definition and Security Model
3.1 Formal Definition
3.2 Security Model
4 Our Concrete Construction
5 Security and Performance
5.1 Correctness
5.2 Security Analysis
5.3 Performance Analysis
6 Conclusions
References
Authentication
Facial Localization Based on Skin Color Modeling
Abstract
1 Introduction
2 Facial Localization Based on Skin Color Information
2.1 Color Space Conversion
2.2 Skin Color Gaussian Modeling
2.3 Skin Color Area Discrimination
3 Implementation of Facial Localization
3.1 Skin Color Sample Collection
3.2 Determining the Pretreatment Process of Skin Color Area
3.3 Face Area Discrimination
3.4 Face Localization Result Analysis
4 Conclusion
References
A Textual Password Entry Method Resistant to Human Shoulder-Surfing Attack
1 Introduction
2 Threat Model and Security Notions
2.1 Threat Model
2.2 Security Definition
2.3 Attack Alert
3 MapPass
4 Security Analysis
4.1 Guessing Attack
4.2 Human Shoulder-Surfing Attack
4.3 Recording Attack
4.4 Attack Alert
5 Usability Analysis
6 Conclusions
References
Speaker Recognition Based on Lightweight Neural Network for Smart Home Solutions
Abstract
1 Introduction
2 Database (PBSD) Construction
3 Lightweight Neural Network
3.1 Packet Bottleneck
3.2 TrimNet
3.3 Experiment
4 Pathology Situation
4.1 SR Rate Curve from Cold-Suffering to Health
4.2 Transfer Learning-Based Template Strategy
5 Conclusion
Acknowledgement
References
A Fine-Grained Authorized Keyword Secure Search Scheme in the Cloud Computing
1 Introduction
2 Related Works
3 Preliminaries
4 System Model and Security Model
4.1 System Model
4.2 Security Model
5 Fine-Grained Authorized Keyword Based Secure Search Scheme
5.1 Setting Initialization
5.2 Key Generation
5.3 Secure Inverted Index Construction and Data Outsourcing
5.4 Data User Grant
5.5 Trapdoor Generation
5.6 Secure Search over Encrypted Inverted Index
6 Analysis of Correctness and Security
7 Experimental Evaluation
7.1 Evaluation of Secure Index Construction
7.2 Evaluation of Trapdoor Generation
7.3 Evaluation of Secure Search
8 Conclusion
References
Implementing Fingerprint Recognition on One-Time Password Device to Enhance User Authentication
Abstract
1 Introduction
2 Review Online Banking Authentication Methods
2.1 Single-Factor Authentication (SFA)
2.2 Multi-factor Authentication (MFA)
2.3 Biometric Authentication
2.4 One-Time Passwords
3 Analyzing Biometrics
3.1 Accuracy of Biometrics
3.2 Processes Involved in a Biometric System
3.3 Biometrics- Fingerprint Recognition: Advantages and Disadvantages
3.4 Henry Classes
4 Analyzing One-Time Passwords
4.1 Popular Attacks that One-Time Passwords Defend Against
4.2 Generation Methods of One-Time Passwords
4.3 How One-Time Password Devices Work
4.4 Problems Associated with One-Time Passwords
4.5 Strengths and Weaknesses of One-Time Passwords
5 Hardware Used for Implementation of the Final Device
5.1 Arduino Uno
5.2 Fingerprint Sensor (TTL GT511C1R)
5.3 RFID Card Reader (RFID RC522)
5.4 GSM Shield (SIM900 GPRS/GSM Shield)
6 Final Device
7 Comparison with Similar Devices
7.1 Comparison with the "Barclays IPortal with Finger Vein Security"
7.2 Comparison with the "OTP System Using Elliptic Curve Cryptography with Palm-Vein Biometrics"
7.3 Comparison with "Fingerprint and Iris Biometric Controlled Smart Banking Machine Embedded with GSM Technology for OTP"
7.4 Comparison with the "Secure OTP and Biometric Verification Scheme for Mobile Banking"
7.5 Function Comparison of Devices
8 Conclusions
References
A Secure Authentication Scheme Based on Chen's Chaotic System and Finger Vein's Auxiliary Data
1 Introduction
2 Feature Encryption Based on Chen's Chaotic System and Auxiliary Data
2.1 Arnold Cat Transformation to Shuffle the Positions of Pixels
2.2 Transformation of the Pixel Values Based on Chen's Chaotic System
3 Experiments and Analysis
3.1 Histogram Analysis
3.2 Correlation Coefficient Analysis
3.3 Key Space Analysis
3.4 System Security Analysis
3.5 Comparison of Similar Algorithms
4 Conclusion
References
Machine Learning and Security
Image Denoising Based on Sparse Representation over Learned Dictionaries
Abstract
1 Introduction
2 Image Denoising Based on K-SVD
3 Denoising Strategy Optimization Design
4 Experimental Results
5 Conclusions
References
Cyclic DenseNet for Tumor Detection and Identification
1 Introduction
2 Cyclic DenseNet for Tumor Detection and Identification
3 Experiment
3.1 Evaluation Index
3.2 Degree of Fitting
4 Conclusion and Future Work
References
Stock Prediction Model Based on Wavelet Packet Transform and Improved Neural Network
1 Introduction
2 Wav-att-LSTM Model
3 Experiment
3.1 Parameter Analysis
3.2 Baseline Model Comparison
4 Conclusion and Future Work
References
An Image Denoising Algorithm Based on Singular Value Decomposition and Non-local Self-similarity
1 Introduction
2 Preliminaries
3 Proposed Algorithm for Image Denoising
3.1 Similar Patches Grouping
3.2 Image Denoising Based on SVD
3.3 Image Patch Aggregation
3.4 Back Projection
4 Simulated Experiments
5 Conclusions
References
Dummy Trajectory Generation Scheme Based on Deep Learning
Abstract
1 Introduction
2 Related Works
3 Dummy Trajectory Recognition Scheme Based on LSTM
3.1 Dummy Trajectory Identification Scheme
3.2 LSTM Trajectory Discriminator Framework
4 Improved Dummy Trajectory Generation Scheme
4.1 Consider Three Constraints of Dummy Trajectory Generation (Priority from High to Low)
4.2 Precondition for Constructing Reasonable Dummy Trajectories
4.3 Dummy Trajectory Generation Scheme
4.4 Experience and Analysis
4.5 Security Analysis
5 Summary
Acknowledgment
References
Explaining Concept Drift of Deep Learning Models
1 Introduction
2 Malware Concept Drift
3 Explaining Concept Drift of DNN
3.1 DNN Architecture
3.2 The Activation of Neurons and Our Threshold Method
4 Experiments
4.1 The Dataset and Model
4.2 Experimental Results and Analysis
5 Conclusion
References
Attention Bilinear Pooling for Fine-Grained Facial Expression Recognition
1 Introduction
2 Related Work
3 Facial Expression Recognition Model
3.1 Attention Enhanced Bilinear Model
3.2 Linear Classifier
4 Experiments and Results
4.1 Experiments Setup
4.2 Experimental Results
4.3 Validation of Attention Module
5 Conclusion
References
Cyberspace Safety
A Secure Collision Avoidance Warning Algorithm Based on Environmental Characteristics and Driver Characteristics
Abstract
1 Introduction
2 Model Establishment
2.1 Scene Analysis
2.2 Design of Secure Collision Avoidance Warning Algorithm
3 Simulation Experiment
4 Conclusion
References
Research on Safety Early Warning Transmission Control Algorithm Based on Driving Stability
Abstract
1 Introduction
2 Broadcast Frequency Adaptive Adjustment Algorithm Based on Driving Stability
2.1 Position Prediction Error Analysis
2.2 Broadcast Frequency Adaptive Adjustment Algorithm
3 Urban Environment Implementation
4 Comparison of Performance Simulations of Different Broadcast Frequencies
4.1 Simulation Scenario
4.2 Simulation Analysis
5 Summary
References
Body-Weight Estimation of Plateau Yak with Simple Dimensional Measurement
1 Introduction
1.1 Our Contribution
2 The Dataset
2.1 Dataset Overview
2.2 The Metrics
2.3 Data Pre-processing and Cleaning
2.4 Machine Learning Tools
3 Experiments and Findings
3.1 Experiments and Results
3.2 The Findings and Conclusion
References
Bank Card Number Identification Based on Template Matching Method
Abstract
1 Introduction
2 Digital Image Preprocessing
2.1 Digital Image Acquisition
2.2 Image Denoising
2.3 Image Binarization
2.4 Bank Card Tilt Correction
2.5 Bank Card Number Extraction and Segmentation
3 Template Making
4 Recongnition
5 Analysis of Results
6 Conclusion
References
A Security Situation Assessment Method Based on Neural Network
Abstract
1 Introduction
2 Related Work
3 Security Situation Assessment Model Based on Neural Network
3.1 DDoS Attack Data Preprocessing
3.2 Feature Classification Based on Neural Network
3.2.1 The Input Layer of Neural Network
3.2.2 The Hidden Layer of Neural Network
3.2.3 The Output Layer of Neural Network
4 Experiment
5 Conclusion
Acknowledgements
References
Main Enabling Technologies in Industry 4.0 and Cybersecurity Threats
1 Introduction
2 Main Enabling Technologies in Industry 4.0
2.1 3D Printing
2.2 Machine Learning and Data Analytics
2.3 Cloud and Edge Computing
2.4 Digital Twin
2.5 Collaborative Robot
2.6 AR
3 Cybersecurity Threats to Enabling Technologies
3.1 3D Printing
3.2 Cloud and Edge Computing / Machine Learning and Data Analytics
3.3 Digital Twin
3.4 Collaborative Robot
3.5 AR
4 Future Work
5 Conclusion
References
Author Index

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