Cloud and Network Computing: Second International Conference, ICCNC 2025, Fuzhou, China, June 2022, 2025, Proceedings [Pehme köide]

.- Cloud & Edge Computing.


.- FPGA-Based Real-Time FIR Filter for Digital Audio Processing.


.- SCDFL:A Secure and Byzantine-Resilient Decentralized Federated Learning
Framework.


.- Multicast Communication in All-Optical Fat-Tree Networks.


.- A Multi-Omics Cancer Subtype Clustering Method Based on Convolutional
Autoencoder and Prototype Alignment.


.- Contract-Theory-Based Incentive Mechanism for Social Welfare Maximization
in Streaming Content Caching Systems.


.- Multimodal Data Fusion for Intelligent Assessment and Dynamic Forecasting
in Agricultural Logistics Systems.


.- The Optimization Problem of Delivery Platforms.


.- Network Computing.


.- Fault Tolerance Analysis of Half Hypercube Networks Under the 1-Extra
R-Component Pattern.


.- Efficient Cross-Layer Coordinated Buffer Management in
Datacenter Networks.


.- Reliability Analysis of Folded Hypercube-Like Networks.


.- Hybrid Gravity-Based Centrality Scheme for High-Resolution
Influencer Detection in Complex Networks.


.- The Approximate Concept of Variable Precision Rough Set on
Concept Lattice.


.- LLM-RLFuzz: An intelligent Fuzzing Framework for IoT Protocol.


.- Three-Round Adaptive Local Diagnosis for Digraph Under MM Model.


.- PSO-Optimized Anchor Weighting for NLOS-Resilient UWB Localization in
Multipath Indoor Environment.


.- Big Data Analysis and Artificial Intelligence.


.- Contrastive Learning for Fault Diagnosis Enhanced by System-Level Graph
Representation.


.- High-Dimensional Time Series Anomaly Detection Method Based on Multimodal
Hypergraph Generative Adversarial Networks.


.- Adaptive Genetic K-Means Clustering With Principal Component Analysis and
Neural Network-Driven Elite Selection.


.- Concept-Aware Deep Representation Learning for Co-Evolving Sequences.


.- Normalized Cut and Subgraph-Aware Multi-Head Attention Based Node-Level
Anomaly Detection.


.- Graph Anomaly Detection Based on Dynamic Hypergraph Neural Network.


.- AMSVGAE-Based Causal Inference for Interpretable Graph Neural Networks.


.- Distributed Resource Management Mechanism Based on Deep Reinforcement
Learning.


.- Security & Privacy.


.- An Adversarial Attack Method Based on Local Masking and Multi-Stage
Momentum Optimization.


.- Anomaly Detection Method of Source Code Vulnerability Detection Tools
Based on Differential Testing.


.- The Fractional Features of Separated Fuzzy Sets and Its
Intelligent Acquisition.


.- NLP-Based Detecting Privacy Policy and Behavior Inconsistencies in Android
Apps.


.- DOL: A Dual Ownership License for Deep Neural Networks.


.- Android App Privacy Risk Assessment: Combining Policy Analysis and
Behavioral Monitoring.


.- Improvement of Provable Data Possession Scheme.


.- Privacy-Preserving Scheme in Social Networks With Differential Privacy.