Computer and Information Security (eBook, PDF)

First World Conference, WCCIS 2024, Kuala Lumpur, Malaysia, September 20-22, 2024, Proceedings
Redaktion: Li, Chunguo; Yee Por, Lip

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the first World Conference of Computer and Information Security, WCCIS 2024, which was held in Kuala Lumpur, Malaysia, during September 20-22, 2024.

The 14 full papers and 5 short papers were presented in this volume were carefully reviewed and selected from 58 submissions. They focus on Computer Modeling and Intelligent Information Technology; Network Information Security and Anomaly Detection.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 242
• Erscheinungstermin: 28. Juli 2025
• Englisch
• ISBN-13: 9783031969447
• Artikelnr.: 75016427

Inhaltsangabe

.- Computer Modeling and Intelligent Information Technology.

.- Subgraph-based lightGBM to Detect Sybil Addresses Across Multiple Blockchain Platforms.

.- Knowledge Extraction for Commercial Aircraft Process Specification Based on LLM Generation Rules.

.- Robo-Advisors in Investment Management: Transforming Accessibility, Personalization, and Efficiency through Artificial Intelligence.

.- Wind speed prediction analysis based on machine learning in wind power generation.

.- Neural Network Visual System Oriented Image Quality Evaluation for Camera Modeling in Cooperative Automated Driving Simulation.

.- Research on the Application of Neural Networks in the Identification and Classification of Data Assets in Network Security Space.

.- A method of locating tropical cyclone center based on gaussian model.

.- Research on Virtualization-Based and Intelligently Guided Fuzzing Method for Industrial Control Systems Abstract.

.- Research and Practice of Dependency Parsing Based on Multiple Parser.

.- The Research on Traditional Chinese Medicine Identification Method Based on YOLOv8 Deep Learning Model.

.- Network Information Security and Anomaly Detection.

.- A malicious code propagation model based on IoT honeypot decoy technology.

.- A Framework Utilizing Deep Learning for Anomaly Detection in Propagation Model.

.- Network Malicious Attack Detection Based on Hierarchical Spatial Attention Mechanism.

.- Research on 5G Channel Reciprocity for Wireless Physical Layer Security.

.- Research on Network Anomaly Traffic Attack Detection.

.- Automated Locating and Isolating Attack Sources in Local Area Networks.

.- Network Security Protection Evaluation Method Based on Multi-source Information Fusion.

.- Intrusion Detection Based on the Combination of TMG-GAN and CNN-BILSTM-Attention.

.- A Blockchain-Based Secure Task Management Scheme for UAV Swarms.