Collaborative Computing: Networking, Applications and Worksharing : 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 1

Security and Privacy Protection.- A Novel Risk Assessment Method Based on Hybrid Algorithm for SCADA.- A Visual Tool for Interactively Privacy Analysis and Preservation on Order-Dynamic Tabular Data.- Prevention of GAN-based Privacy Inferring Attacks towards Federated Learning.- ACS: An Efficient Messaging System With Strong Tracking-resistance.- Anti-Clone: A Lightweight Approach for RFID Cloning Attacks Detection.- A Privacy-Preserving Lightweight Energy Data Sharing Scheme based on Blockchain for Smart Grid.- Dynamic Trust-Based Resource Allocation Mechanism for Secure Edge Computing.- A Stochastic Gradient Descent Algorithm Based on Adaptive Differential Privacy.- Evading Encrypted Traffic Classifiers by Transferable Adversarial Traffic.- A Secure Auction Mechanism for Task Allocation in Mobile Crowdsensing.- Deep Learning and application.- A Pareto-Efficient Task-Allocation Framework based on Deep Reinforcement Learning Algorithm in MEC.- An Adaptive Ensembled Neural Network-based Approach to IoT Device Identification.- Fine-grained Head Pose Estimation Based on 6D Rotation Representation with Multiregression Loss.- Purpose Driven Biological Lawsuit Modeling and Analysis Based on DIKWP.- Research on Depth-adaptive Dual-arm Collaborative Grasping Method.- Collaborative working.- Semantic SLAM for mobile robot with Human-In-the-Loop. -Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels.- Cost Performance Driven Multi-Request Allocation in D2D Service Provision Systems.- Collaborative Mobile Edge Computing through UPF Selection.- Deep Reinforcement Learning for Multi-UAV Exploration under Energy Constraints.- Optimization of Large-Scale Knowledge Forward Reasoning Based on OWL 2 DL Ontology.- ITAR: A Method for Indoor RFID Trajectory Automatic Recovery.- A Longitudinal Measurement and Analysis of Pink, a Hybrid P2P IoT Botnet.- VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network.- Images processing and recognition.- Landmark Detection Based on Human Activity Recognition for Automatic Floor Plan Construction.- Facial Action Unit Detection by exploring the weak relationships between AU labels.- An improved dual-subnet lane line detection model with a channel attention mechanism for complex environments.- Facial Expression Recognition Based on Deep Spatiotemporal Attention Network.