Cloud and Network Computing (eBook, PDF)

Second International Conference, ICCNC 2025, Fuzhou, China, June 20-22, 2025, Proceedings
Redaktion: Lin, Limei; Lee, Chia-Wei

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the Second International Conference on Cloud and Network Computing, ICCNC 2025, which was held in Fuzhou, China, during June 20-22, 2025.

The 31 full papers presented in this volume were carefully reviewed and selected from 88 submissions.

They are grouped into the following topics: Cloud & Edge Computing; Network Computing; Big Data Analysis and Artificial Intelligence; Security & Privacy.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 436
• Erscheinungstermin: 30. September 2025
• Englisch
• ISBN-13: 9789819501298
• Artikelnr.: 75557366

Inhaltsangabe

.- 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.