Blockchain and Trustworthy Systems : 7th International Conference on Blockchain, Artificial Intelligence, and Trustworthy Systems, BlockSys 2025, Zhuhai, China, May 30-31, 2025, Revised selected papers. Part III /
This three-volume set, CCIS 2637-2639 , constitutes the refereed proceedings of the 7th International Conference on Blockchain and Trustworthy Systems, BlockSys 2025, held in Zhuhai, China, during May 30-31, 2025. The 110 full papers included in this book were carefully reviewed and selected from 25...
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2026]
|
| Series: | Communications in computer and information science ;
2639. |
| Subjects: |
Table of Contents:
- Blockchain & Smart Contract Trustworthiness.
- Slime: An Intelligent Hybrid Recovery Strategy that Minimizes Recovery Overhead.
- ASCRec: Recommending Accurate and Secure Codes for Smart Contract Developers.
- A Smart Contract Vulnerability Detection Method Based on Graph Neural Networks and Zero-Shot Learning.
- Decentralized Data Trading Solutions with Poisoning Attacks Defense.
- USCSafe: Identifying Permission Vulnerabilities in Upgradeable Smart Contracts.
- SAFE: A Blockchain-Based Framework for Secure Health Data Sharing with Symmetric Encryption.
- The Impact of Cryptographic Algorithm Performance on Smart Contracts in WebAssembly.
- A Survey of Sharding Blockchains on Performance and Scalability.
- Investigating Tornado Cash: Empirical Insights into Mixing Service Anonymity.
- Federated Learning & Edge Computing Security. .-A Spam Detection Model With Federated Learning and Large Language Model.
- Secure and Efficient Task Offloading with Resource Allocation in Vehicular Edge Computing.
- Crowdsensing with Federated Trust Management: Adaptive Defense Against Malicious Contributions.
- CDDSF: A Zero-Shot Domain Adaptation Framework for Secure Solidity Code Search.
- Cost-aware Makespan Minimization for Workflow Scheduling in Trustworthy Heterogeneous Clouds.
- A Mutimodal Smart Contract Classification Method Based on Hybrid Convolutional Neural Networks.
- Computility Planning for Sustainable Supercomputing Centers.
- Research on Web Vulnerability Mining System Based on Machine Learning.
- A Survey on Trustworthy Systems in ChatGPT-Like Large-Scale Generative AI Models: Security, Interpretability, Reliability, and Privacy Considerations.
- Industrial & IoT System Reliability
- HMC-Driven Efficient Prediction of SiC Ion Annealing.
- IEDD-Net: Industrial Endoscope Defect Detection Network Based on Improved YOLOv12n.
- Research on Reliable Control Methods for Industrial Robotic Arms.
- Adaptive Damage Detection Algorithm for Food Packaging Based on Deep Learning.
- Service Quality Improvement Strategy in Public Services: An NN-SHAP Analysis Model for Satisfaction Survey.
- Feature-Fusion-Based Adaptive Architectural Crack Detection System.
- Research on Vegetation Generation Technology for 3D Scenes Based on Multi-Physics Field Coupling.
- A 2D Engineering Drawing Element Parsing Method Based on Multi-Modal Frequency-Spatial Feature Pyramid Network.
- Pi 4B-based Visual Navigation System for Low-computing Power Intelligent Vehicles.
- CIHD-Net: A Cross-modal Interactive Hierarchical Dilated Network for RGB-D Salient Object Detection.
- A Semi-fragile Reversible Watermarking for 3D Models Using Quantization Interval Division Modulation.
- An Effective Reliability Prediction Model for Blockchain Services via Hybrid Multi-Layer Graph Attention and Self-attention.
- DCD: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber View.
- Detecting Inconsistent Privacy Statements between Mobile Vehicle Apps and their Third-party Integrations.
- CSM:Cross-Scan Mamba for Remote Sensing Object Detection.
- Robust Cross-Modal Semantic Communication for Object Detection.
- Research on the Application of Pedagogical Agents in Interdisciplinary Teaching.
- A Dynamic Swarm Reputation-DrivenConsensus Mechanism for TrustworthyEmbodied Intelligent Collaboration.