Wireless Algorithms, Systems, and Applications: 17th International Conference, WASA 2022, Dalian, China, November 24–26, 2022, Proceedings, Part II

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The three-volume set constitutes the proceedings of the 17th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2022, which was held during October 28-30, 2022. The conference took place in Dalian, China.The 95 full and 62 short papers presented in these proceedings were carefully reviewed and selected from 265 submissions. The contributions in ​algorithms, systems; and applications of internet of things;information processing and data management;radar and sonar networks Preface Organization Contents – Part II Algorithms, Systems, and Applications of Internet of Things Unsupervised Deep Learning-Based Hybrid Beamforming in Massive MISO Systems 1 Introduction 2 System Model and Problem Formulation 2.1 System Model 2.2 Problem Formulation 3 Proposed CNN-Based Hybrid Beamforming Optimization 3.1 CNN Structure 3.2 Training Strategy 3.3 Complexity Analysis 4 Simulation Results 5 Conclusion References An Adaptive BSCO Algorithm of Solid Color Optimization for 3D Reconstruction System with PIFuHD 1 Introduction 1.1 A Subsection Sample 2 Related Work 2.1 Research Status of 3D Reconstruction Technology 2.2 Symbol Table 3 Method 3.1 PIFuHD Algorithm Framework for Solid Color Optimization 3.2 BSCO 3.3 PIFuHD 4 Experiment 4.1 Experimental Environment 4.2 Experimental Results 4.3 Experimental Analysis 5 Conclusion and Future Work References RF-Line: RFID-Based Line Crossing Detection 1 Introduction 2 Problem Definition 3 RF-Line 3.1 Basic Idea 3.2 Line Crossing Detection with Time Warping 3.3 Generalized Cases 4 Evaluation 4.1 System Setup 4.2 Accuracy 5 Related Work 6 Conclusion References Joint Beamforming and Deployment Optimization for UAV-Assisted Maritime Monitoring Networks 1 Introduction 2 System Model and Problem Formulation 2.1 System Model 2.2 Problem Formulation 3 Problem Solution 3.1 UAV Deployment and Beam Gain Allocation Sub-problem 3.2 Beamforming Optimization Sub-problem 4 Simulation Results 5 Conclusion References A Monte Carlo Algorithm Based on Stochastic Geometry for Simulating Satellite Systems Interference 1 Introduction 2 Problem Definition 3 Proposed Monte Carlo Algorithm Based on Stochastic Geometry 3.1 Calculation of C/Iagg 3.2 Monte Carlo Method 4 Performance Evaluation 4.1 Simulation Settings 4.2 Simulation Results 5 Conclusion References An Efficient Interference Calculation Model Based on Large Scale Constellations Probabilistic Analysis 1 Introduction 2 Scenario Model 2.1 Interference Scenario 2.2 Probability Method 3 Interference Calculation Model 3.1 Determine the Visual Area 3.2 Determine the Position of the NGSO Satellites in the Visual Area 3.3 Interference Calculation 3.4 Interference Probability Distribution Statistics 4 Experiment 4.1 Simulation Model 4.2 Results and Discussion 5 Conclusion References FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning 1 Introduction 2 Methodology 2.1 Motivation 2.2 Algorithm Design 3 Experiments 3.1 Datasets and Model Architectures 3.2 FedALP Evaluation 4 Conclusion References Recovering the Weights of Convolutional Neural Network via Chosen Pixel Horizontal Power Analysis 1 Introduction 2 Background 2.1 Side-Channel Attack 2.2 Convolutional Neural Network and CMSIS-NN 3 Chosen Pixel Horizontal Power Analysis 3.1 Targeted Model 3.2 Correlating Selected Multiplications to Reverse the Weights of CNN 4 Experiments 5 Conclusion References MineSOS: Long-Range LoRa-Based Distress Gesture Sensing for Coal Mine Rescue 1 Introduction 2 System Overview 3 Gesture Design 3.1 Sub-gestures 3.2 Distress Information Expression 3.3 Observation 4 MineSOS System Design 4.1 Optimal Attribute Selection 4.2 Emergency Gesture Recognition 5 System Evaluation 5.1 Implementation 5.2 Overall Performance 5.3 Evaluation of Designed Methods 5.4 Exploring the Limit of Sensing Range 6 Conclusion References Weighted Data Loss Minimization in UAV Enabled Wireless Sensor Networks 1 Introduction 2 Related Work 3 Preliminaries 3.1 System Model 3.2 Problem Formulation 4 The Proposed Scheme 4.1 Potential Hovering Locations Discretization 4.2 Data Collection Tour Planning Algorithm 4.3 Data Collection Tour Optimization Algorithm 4.4 Algorithm Analysis 5 Performance Evaluation 5.1 Simulation Setup 5.2 Performance Evaluation of Different Algorithms 5.3 Impacts of Parameters on the Performance of Algorithm 6 Conclusion References Robust Adaptive Cubature Kalman Filter for Attitude Determination in Wearable Inertial Sensor Networks 1 Introduction 2 Attitude Estimation System 2.1 Attitude Update Model 2.2 Attitude Estimation Model 3 Design of Attitude Data Fusion Algorithm 3.1 Data Fusion Scheme Design 3.2 Robust Adaptive Cubature Kalman Filter Algorithm 4 Experiment Results and Algorithm Validation 5 Conclusion References Research on the Effect of BBR Delay Detection Interval in TCP Transmission Competition on Heterogeneous Wireless Networks 1 Introduction 2 Related Work 3 BBR Delay Detection Interval 3.1 Mechanism of Delay Detection Interval 3.2 Dynamic Delay Detection Interval 4 Simulation Setup and Result Analysis 4.1 Scenarios and Parameters 4.2 Simulation Results 4.3 Result Analysis 5 Conclusion References BatMapper-Plus: Smartphone-Based Multi-level Indoor Floor Plan Construction via Acoustic Ranging and Inertial Sensing 1 Introduction 2 Overview 3 Methods 3.1 Unilateral Acoustic Ranging 3.2 Map Construction and Refinement 3.3 Connection Area Detection 4 Evaluation 4.1 Unilateral Acoustic Ranging 4.2 Floor Plan Construction 4.3 Connection Area Detection 5 Related Work 6 Conclusion References Prediction of Cancellation Probability of Online Car-Hailing Orders Based on Multi-source Heterogeneous Data Fusion 1 Introduction 2 Literature Review 3 Data Design 3.1 Problem Definition 3.2 Social Factors 3.3 Public Transportation Resources 4 Model Design 4.1 Attribute Fusion Module 4.2 Encoder Layer 4.3 Decoder Layer 5 Experiments 5.1 Dataset Introduction 5.2 Quantitative Analysis 5.3 Ablation Experiment 6 Conclusion References FedGAN: A Federated Semi-supervised Learning from Non-IID Data 1 Introduction 2 Overview 2.1 Objective of FedGAN 2.2 Optimization Process 2.3 GAN-Based Training Mechanism 2.4 Dynamic Aggregation Mechanism 3 Experiment 3.1 Ablation Study 3.2 Comparison with Related Methods 3.3 Robustness 3.4 Scalability 4 Conclusion References DEANet: A Real-Time Image Semantic Segmentation Method Based on Dual Efficient Attention Mechanism 1 Introduction 2 Related Work 2.1 Real-Time Semantic Segmentation 2.2 Attention Mechanism 3 Methodology 3.1 Network Structure of DEANet 3.2 Attention Module 4 Experiments 4.1 Dataset 4.2 Evaluation Indicators and Experimental Details 4.3 Ablation Experiment 4.4 Comparison with Other Methods 5 Summary References A Deep Learning Approach Based on Continuous Wavelet Transform Towards Fall Detection 1 Introduction 2 Related Work 2.1 Fall Detection 2.2 Image Classification 3 Methods 3.1 System Overview 3.2 Data Preprocessing 3.3 Feature Extraction 3.4 Classification 3.5 Wavelet Scattering Network 4 Performance Evaluation 4.1 Experiment Setup 4.2 Comparison of the Two Methods 4.3 Comparison with Existing Fall Detection Efforts 5 Conclusion and Future Work References Data Collection of IoT Devices with Different Priorities Using a Fleet of UAVs 1 Introduction 2 Preliminaries 2.1 Network Model 2.2 Problem Definition 3 Algorithm for the Simplified Problem 4 Algorithm for the Weighted Data Collection Latency Minimization Problem 5 Performance Evaluation 5.1 Simulation Environment 5.2 Algorithm Performance 6 Conclusion References Cross-Model Operator Batching for Neural Network Architecture Search 1 Introduction 2 Motivation 3 Problem Formulation 3.1 System Model 3.2 Batching 3.3 Problem Definition 4 Algorithm Design 4.1 Clustering Based on Model's Similarity 4.2 Design of Batching Strategy 5 Evaluation 5.1 Experiment Settings 5.2 Three Baselines 5.3 Experiment Results 6 Conclusion References Reliability-Aware Comprehensive Routing and Scheduling in Time-Sensitive Networking 1 Introduction 2 Related Work 3 System Model 3.1 Network Architecture Model 3.2 Traffic Model 4 Joint Routing and Scheduling Mechanism 4.1 Route Constraints 4.2 Scheduling Constraints 4.3 Optimization Objective 4.4 Mechanism Design 5 Evaluation 5.1 Simulation Setup 5.2 Evaluation Results 6 Conclusions References Fundamental Analysis of 3D 6G-Localization Using Reconfigurable Intelligent Surface 1 Introduction 2 3D System and Channel Model 2.1 3D System Model 2.2 Channel Model 2.3 Received Signal Model 3 Cramr-Rao Lower Bound on Position Estimation 4 Simulation 4.1 Simulation Setting 4.2 Different Positioning Approaches 4.3 TOA Based Positioning 4.4 AOA Based Positioning 5 Conclusion References UltrasonicG: Highly Robust Gesture Recognition on Ultrasonic Devices 1 Introduction 2 Related Work 3 System Design 3.1 Overview 3.2 Data Collection and Processing 3.3 Feature Extraction and Gesture Classification 4 Experimentation and Evaluation 4.1 Experiment Setup 4.2 Experiment Evaluation 5 Conclusion References Joint Federated Learning and Reinforcement Learning for Maritime Ad Hoc Networks: An Integration of Personalized Collaborative Route Planning 1 Introduction 2 Problem Formulation 2.1 The Maritime Ad Hoc Network Model 2.2 Data Packet 2.3 Optimization Objectives 2.4 Problem Formulation 3 Proposed Algorithms 3.1 Motivation for Algorithm 3.2 The Learning Common Policy Features of Similar Nodes 3.3 Cooperative Scheduling Mechanism Based on Transmission Task Completion 3.4 Common Network Parameter Aggregation Methods 4 Performance Evaluation 5 Conclusion References LF-DWNet: Robust Depth Estimation Network for Light Field with Disparity Warping 1 Introduction 2 Related Work 2.1 Conventional Methods 2.2 Learning-Based Methods 3 Method 3.1 Overall Framework 3.2 Disparity Warping of EPI 3.3 Attention-Based Feature Extraction Module 4 Experiments 4.1 Datasets and Implementation Details 4.2 Experimental Results 5 Conclusion References Toward Multi-sided Fairness: A Fairness-Aware Order Dispatch System for Instant Delivery Service 1 Introduction 2 Background and Motivation 2.1 Instant Delivery Scenario 2.2 Characteristics of Fairness in Order Dispatch 3 System and Formulation 3.1 System Overview 3.2 Problem Formulation 4 Order Dispatch Model Design 4.1 Environment Simulator Design 4.2 Advantage Actor-Critic Network 4.3 Order Dispatch Based on A2CMF Model 5 Evaluation 5.1 Evaluation Methodology 5.2 Main Performance 6 Related Works 6.1 Fairness in the Matching Mechanisms 6.2 Order Dispatch Mechanisms Based on Reinforcement Learning 7 Conclusion References HeadTracker: Fine-Grained Head Orientation Tracking System Based on Headphones 1 Introduction 2 System Design 2.1 Signal Progressing 2.2 Headphone Positioning 2.3 Movement Recognition 2.4 Orientation Calculation 3 Implementation and Evaluation 3.1 Implementation 3.2 Performance of Head Movement Recognition 3.3 Performance of Head Orientation Tracking 3.4 Impact of Speed 3.5 Impact of Participants 4 Conclusion References Kalman Filter Algorithm Based on Sheep Herding Optimization 1 Introduction 2 Related Work 2.1 Kalman Filter Algorithm 2.2 Particle Swarm Optimization 3 Kalman-Sheep Algorithm 3.1 Architecture of the Algorithm 3.2 Sheep Herding Optimization Algorithm 3.3 Kalman Filter Algorithm 4 Experiment 4.1 SHO 4.2 KSP 5 Conclusion References Target Detection Algorithm Based on Feature Optimization and Sample Equalization 1 Introduction 2 Related Work 2.1 Target Detection 2.2 Feature Pyramid Networks 2.3 Imbalance of Sample Distribution 3 Methodology 3.1 Framework 3.2 Multilayer Feature Cascaded Aggregation Pyramid Network (MCA-FPN) 3.3 Sample Balanced Loss Function (SB-Loss) 4 Results 4.1 Training Configuration 4.2 Ablation Experiment 4.3 Plug and Play Experiment 4.4 Algorithm Comparison Experiment 4.5 Algorithm Comparison Experiment 5 Results References SBA-GT: A Secure Bandwidth Allocation Scheme with Game Theory for UAV-Assisted VANET Scenarios 1 Introduction 2 Our Proposed Scheme 2.1 Network Model 2.2 Our Proposed UAV-Based VANET System 2.3 The Secure Bandwidth Allocation System 2.4 Security Analysis of the Proposed Roaming System 3 Game Theory Analysis 3.1 Game Modeling 3.2 Follower Strategy 4 Simulation Performance 5 Conclusion References FSI: A FTM Calibration Method Using Wi-Fi Physical Layer Information 1 Introduction 2 Preliminary 3 System Design 3.1 Overview 3.2 Data Processing 3.3 FSI Calibration and Results Optimization 3.4 Localzation Methods 4 Performance Evaluation 4.1 Evaluation Setup 4.2 Ranging Error 4.3 Positioning Error 5 Conclusion and Future Directions References Low-Poisoning Rate Invisible Backdoor Attack Based on Important Neurons 1 Introduction 2 Related Work 2.1 Poisoning-Based Backdoor Attacks 2.2 Non-poisoning-based Backdoor Attacks 3 Threat Model Definition 4 INIB 4.1 Trigger Generation Based on Important Neurons 4.2 Label-Consistent Poisoned Image Generation 4.3 Model Retraining 5 Experiment 5.1 Experimental Parameter Settings 5.2 Attack Success Rate 6 Conclusion References A Multimodal Deep Fusion Network for Mobile Traffic Classification 1 Introduction 2 Related Works 3 The Proposed Multimodal Model 3.1 Modal Choices 3.2 Model Architecture 3.3 Classification Layer 4 Evaluation 4.1 Traffic Collection 4.2 Experiments and Analysis References Pick-Up Point Recommendation Using Users' Historical Ride-Hailing Orders 1 Introduction 2 Dataset and Dataset Analysis 2.1 Dataset 2.2 Dataset Analysis 3 User Travel Behavior Analysis 3.1 The Analysis of Temporal Information in Users' Historical Orders 3.2 The Analysis of Spatial Information in Users' Historical Orders 4 Pick-Up Point Recommendation Model 4.1 Order Clustering via DBSCAN 4.2 Order Matching 5 Experimental Results and Analysis 5.1 The Analysis of Order Clustering 5.2 The Analysis of the Results Obtained by PPRM 6 Conclusion References DP-Opt: Identify High Differential Privacy Violation by Optimization 1 Introduction 2 DP Disprover Background 2.1 Differntial Privacy 2.2 Prior Knowledge of DP-Sniper 3 Motivation and Ideas 3.1 Limitations of DP-Sniper 3.2 Ideas 4 Our Disprover 4.1 DP-Opt: Search for Optimal Threshold Attack 4.2 PowerSearcher: Search for High Privacy Violation 5 Evaluation 5.1 Implementation 5.2 Mechanisms Evaluated 5.3 Results 6 Conclusion References A Fast Direct Position Determination with Embedded Convolutional Neural Network 1 Introduction 2 Background and Preliminary 2.1 MLE-Based DPD 2.2 CNN-Based CV 3 Our Approach 3.1 Reduct of MLE-Based DPD and CNN-Based CV 3.2 CNNDPD 3.3 Data Pre-processing 3.4 Training 4 Simulation Results 4.1 Dataset 4.2 Experimental Settings 4.3 Result and Discussion 5 Ablation Study 6 Conclusion References GCD-Filter: Private Set Intersection Without Encryption 1 Introduction 1.1 What Should We Value in PSI? 1.2 Our Motivations 1.3 An Overview of Our Protocol 1.4 Our Contributions 2 Related Work 3 Preliminaries 3.1 Unique Integer Factorization Theorem 3.2 k-Ordered Factorization 4 Our Protocol 4.1 Elements Preprocessing 4.2 GCD-Naive: Filtering Elements by Using gcd 4.3 GCD-Filter: Grouping to Reduce the Processing Magnitude 5 Performance Evaluation 5.1 Asymptotic Communication Complexity Comparison 5.2 Experimental Evaluation 6 Conclusion References Incorporating Self Attention Mechanism into Semantic Segmentation for Lane Detection 1 Introduction 2 Proposed Method 2.1 Network Structure 2.2 Self-attention Mechanism 2.3 Loss Function 3 Experiments 4 Conclusion References Enhancing Efficiency and Quality of Image Caption Generation with CARU 1 Introduction 2 Related Work 3 Methodology 3.1 Model Overview 3.2 Image Feature Extraction 3.3 Context Extraction 3.4 Caption Generation 4 Experiments 4.1 Dataset and Data Pre-processing 4.2 Implementation 4.3 Results and Analysis 5 Conclusion References IMBR: Interactive Multi-relation Bundle Recommendation with Graph Neural Network 1 Introduction 2 Related Work 2.1 Graph Neural Network 2.2 Bundle Recommendation 3 Problem Formulation 4 Methodology 4.1 Multi-relation Graph Representation 4.2 Interaction Matrix Construction 4.3 Containment Relation Matrix Construction 4.4 BFTC Algorithms 4.5 Interactive Multi-relation Model Predictions 5 Experiments 5.1 Datasets and Evaluation Metrics 5.2 Baseline 5.3 Performance Comparison 5.4 Ablation Study 5.5 Hyper-Parameters Analysis 6 Conclusion References Information Processing and Data Management A Privacy Preserving and Format-Checkable E-voting Scheme 1 Introduction 2 Preliminaries 2.1 Paillier Cryptosystem 2.2 Boneh-Boyen Signature 2.3 Secure Bit-Decomposition Protocol (SBD) 3 System Model and Notations 3.1 System Entities 3.2 Trust Assumption 3.3 Notations Description 4 Our Scheme 4.1 Scheme Overview 4.2 Initialization Phase 4.3 Authentication Phase 4.4 Voting Phase 4.5 Counting Phase 4.6 Complexity 5 Scheme Analysis 5.1 Security Analysis 5.2 Performance Comparison 6 Conclusion References LogLR: A Log Anomaly Detection Method Based on Logical Reasoning 1 Introduction 2 Related Work 3 Methodology 3.1 Log Parsing 3.2 Vectorization 3.3 Weak Label Estimation 3.4 Anomaly Detection 4 Evaluation 4.1 Datasets 4.2 Measurements 4.3 Results and Analysis 5 Conclusion References A Software Security Entity Relationships Prediction Framework Based on Knowledge Graph Embedding Using Sentence-Bert 1 Introduction 2 Related Work 3 Model Architecture 3.1 Knowledge Graph Construction 3.2 Structure Embedding Generation 3.3 Description Embedding Generation 3.4 Graph Attention Layer 3.5 Model Training 4 Experiments Setup 4.1 Datasets 4.2 Evaluation Protocols 4.3 Baseline Protocols 5 Experiments Results 5.1 Multi-hop Study 5.2 Application Studies 6 Conclusion References A Secure Task Matching Scheme in Crowdsourcing Based on Blockchain 1 Introduction 2 Related Works 3 Preliminaries 3.1 Bilinear Pairings 3.2 Shamir Threshold Secret Sharing 3.3 Blockchain and Smart Contract 4 System Model, Threat Model, and Design Goals 4.1 System Model 4.2 Threat Model 4.3 Design Goals 5 The Proposed Scheme 5.1 Summary of Model Notations 5.2 System Initialization 5.3 Task Publishing 5.4 Task Matching 6 Security Analysis 6.1 External Attack 6.2 Internal Attack 7 Performance Evaluation 7.1 Experimental Setting 7.2 Experimental Results 8 Conclusion References Dropout-Based Ensemble Dual Discriminator for Cross-Domain Sentiment Classification 1 Introduction 2 Related Work 2.1 Text Sentiment Classification 2.2 Cross-Domain Sentiment Classification 3 Methods 3.1 Sentiment Classifier Module 3.2 Dropout-Based Ensemble Dual Discriminator Module 3.3 Training 4 Experiment 4.1 Dataset 4.2 Baselines 4.3 Experimental Parameter Settings 4.4 Experimental Results and Analysis 5 Conclusion References CNsum: Automatic Summarization for Chinese News Text 1 Introduction 2 Related Work 3 Model 3.1 BERT-Based Encoder 3.2 GPT-2-Based Decoder 4 Experiments 4.1 Datasets 4.2 Evaluation Metrics 4.3 Baseline Models 4.4 Results 5 Conclusion References Higher Layers, Better Results: Application Layer Feature Engineering in Encrypted Traffic Classification 1 Introduction 2 Related Works 2.1 Encrypted Traffic Classification Models 2.2 Encrypted Traffic Feature Engineering 3 Preliminaries 3.1 Protocol Unit and Protocol Data Unit 3.2 Application Data Unit 3.3 Encrypted Traffic Classification 4 Traffic Feature Engineering in Different Layers of HTTPS 4.1 TCP Layer Feature Engineering 4.2 TLS Layer Feature Engineering 4.3 Application Layer Feature Engineering 5 Evaluation 5.1 Dataset 5.2 Experiments 6 Conclusions References P-LFA: A Novel LFA-Based Percolation Fast Rerouting Mechanism 1 Introduction 2 Related Work 2.1 Unicast-Based IP FRR 2.2 Multicast-Based IP FRR 3 P-LFA Architecture 3.1 Path Calculation 3.2 Forwarding Table 3.3 Forwarding Process 4 Percolation Path Algorithm 5 Packet Caching 6 Evaluation of P-LFA Mechanism 6.1 Experiment Environment 6.2 Path Robustness 6.3 Loss Tolerance 6.4 Computational Cost 7 Conclusions References PU_Bpub: High-Dimensional Data Release Mechanism Based on Spectral Clustering with Local Differential Privacy 1 Introduction 2 Related Work 3 Preliminaries 3.1 Local Differential Privacy 4 System Model 4.1 Basic Idea 4.2 Transformation with LDP 4.3 Multi-dimensional Distribution Estimation 4.4 Computing Dependence Structure 4.5 Initial Node Selection 4.6 Synthesizing New Dataset 5 Performance Evaluation 5.1 Datasets and Setup 5.2 Experimental Results 6 Conclusion References R-TDBF: An Environmental Adaptive Method for RFID Redundant Data Filtering 1 Introduction 2 Related Work 3 Scheme Overview 3.1 Related Definition 3.2 Redundancy Processing Framework 4 Detailed Scheme 4.1 Model Construction 4.2 Threshold Setting 4.3 Online Redundancy Judgment 5 Evaluation 5.1 Filtration Performance Evaluation 5.2 Error Rate Analysis 6 Conclusion References Users' Departure Time Prediction Based on Light Gradient Boosting Decision Tree 1 Introduction 2 Related Works 3 The Analysis of Users' Departure Time and Travel Behaviors 3.1 The Overall Information of Users' Historical Taxi Orders 3.2 The Analysis of Users' Travel Behaviors 3.3 Feature Selection 4 Time Prediction Model for Predicting Users' Departure Time 4.1 Model Description 4.2 Departure Time Prediction Based on Light Gradient Boosting Machine (TP-LightGBM) 5 The Experimental Results and Analysis 5.1 Experimental Setups 5.2 Experimental Results and Comparative Analysis 6 Conclusion and Future Work References Radar and Sonar Networks Accurate Contact-Free Material Recognition with Millimeter Wave and Machine Learning 1 Introduction 2 Related Works 2.1 Contact-Based Material Recognition 2.2 RF-Based Contact-Free Material Recognition 3 System Design 3.1 Principle of mmWave Material Recognition 3.2 Channel Augmentation with FMCW Modulation 3.3 Feature Engineering 3.4 Machine Learning Models 4 Evaluation 4.1 Implementation 4.2 Data Collection and ML Training Configuration 4.3 Evaluation Results 5 Discussion 6 Conclusion References Subcarrier Index Modulation Aided Non-Coherent Chaotic Communication System for Underwater Acoustic Communications 1 Introduction 2 The SIM-CS-DCSK System 2.1 The Transmitter 2.2 The Receiver 3 Numerical Simulations 4 Field Experiments 4.1 The Pool Experiment 4.2 The Lake Experiment 5 Conclusion References Constrained Graph Convolution Networks Based on Graph Enhancement for Collaborative Filtering 1 Introduction 2 Related Work 2.1 Graph Neural Networks 3 Methodology 3.1 Problem Definition 3.2 Graph Initialization Learning Module 3.3 Constrained Graph Convolution Module with an Auxiliary Sampling Strategy 4 Experiments 4.1 Experiment Setup 4.2 Performance Comparison 4.3 Ablation Study 5 Conclusion References Network Intrusion Detection Based on Hybrid Neural Network 1 Introduction 2 Related Work 3 Model Construction 3.1 Dense-CNN Module 3.2 Transformer Module 3.3 Classification Output 4 Data Analysis 5 Experimental Results and Analysis 5.1 Network Structure Analysis 5.2 Classification Experiment 5.3 Comparative Experiment 6 Conclusion References Author Index