Internet of Things ICIOT 2023: 8th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Shenzhen, China, December ... (Lecture Notes in Computer Science, 14208)

This book constitutes the refereed proceedings of the 8th International Conference on Internet on Things, ICIOT 2023, held as part of SCF 2023, in Shenzhen, China, during December 17–18, 2023. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The papers cover topics in the field of sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines. Preface Organization Conference Sponsor – Services Society About the Services Conference Federation (SCF) Contents A Survey on Security in Data Transmission in IoT: Layered Architecture 1 Introduction 2 Attacks and Their Solutions in the Layered IoT Architecture 3 Attacks and Solutions at the Perception Layer 3.1 Attacks on the Perception or Physical Layer 3.2 Solutions Approaches in the Perception Layer 4 Network Layer Attacks and Their Solutions 4.1 The Various Attacks on the Network Layer 4.2 Existing Solutions for the Network Layer 4.3 Attacks or Problems at the Middleware Layer and Their Solutions 5 Attacks and Solutions in the Application Layer 5.1 Application Layer Attacks 5.2 Solutions Again Application Layer Attacks 6 The Advantages and Disadvantages of Existing Solutions 6.1 The Advantages of the Proposed Solutions in the Layers 6.2 Disadvantages of Existing Solutions 7 The Limits of IoT Devices 7.1 Extending Battery Life 7.2 Storage Memory and Light Calculation 8 Conclusion References A Location Recommendation Model Based on User Behavior and Sequence Influence 1 Introduction 2 Related Work 3 Preliminaries 4 Implementation of the UBSI Solution 4.1 UBSI System Model 4.2 Weight Model 4.3 Implement Position Recommendation for Weighted Additive Markov Chain 5 Experimental Results and Analysis 5.1 Evaluation Indicators 5.2 Experimental Setup 5.3 Experimental Results and Discussion 6 Conclusion References GPChain: Optimizing Cross-Shard Transactions and Load Imbalance in Sharded Blockchain Networks 1 Introduction 2 Background and Related Work 2.1 Blockchain Sharding 2.2 Balanced Graph Partitioning 2.3 Cross-Shard Transaction 3 Overview of GPChain 4 Protocol Design 4.1 Community-Based Graph Partitioning 4.2 Account Status Reconfiguration 5 Evaluation 5.1 Environment and Settings 5.2 Experimental 6 Discussion 7 Conclusion References Distributed Photovoltaic Power Generation Prediction Based on Feature Extraction and Multi-model Fusion 1 Introduction 2 Feature Extraction 2.1 Multi-dimensional Information Extraction 2.2 Periodic Feature 2.3 Extract Volatility Feature 2.4 Photovoltaic Panel Temperature Characteristics 3 Method 3.1 KNN-Softmax Prediction 3.2 Multi-model Fusion Based on Residual Connection 3.3 Stacking-Based Fusion Prediction Model 4 Experiments 4.1 Evaluation Indicators 4.2 Impact Analysis of Feature Extraction 4.3 Performance Analysis 5 Conclusion and Future Directions References A Pioneering Approach to Data Integration at Shanghai Exchange Group 1 Background and Strategic Significance 2 Innovative Approach to Data Integration 2.1 Embrace RAG 2.2 Integrated Structural and Non-Structural Management 2.3 Enhanced Master Data Management with Graph Data 3 Discussion References DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant 1 Introduction 2 Related Work 3 Methodology 3.1 Development Process 3.2 Primary Technologies 3.3 Development Approach 4 System Design 4.1 Design of System Function 4.2 Design of System Database 5 System Implementation 5.1 Implementation of Administrator Module 5.2 Implementation of Employee Module 5.3 Implementation of Client Module 6 System Testing 6.1 Functional Testing 6.2 Compatibility Testing 7 Conclusion References Multi-agent DSS for Smart Government Crisis Management 1 Introduction 2 Literature Review 2.1 Government Crisis Management 2.2 Decision Support System 2.3 Smart Government and Intelligent Decision-Making 3 Analysis of Government Crisis Decision-Making Process 3.1 Decision-Making Stage 3.2 Decision Implementation Stage 4 Construction of a Smart Government Crisis Management DSS Model based on Multi-Agent Technology 5 Model Function Analysis 5.1 Crisis Data Management 5.2 Crisis Information Monitoring 5.3 Crisis Decision Making 5.4 Crisis Situation Simulation 5.5 Crisis Decision Evaluation 5.6 Crisis Case Analysis and Knowledge Discovery 6 Conclusions References Author Index