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  • Produktbild: Cyberspace Simulation and Evaluation
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Cyberspace Simulation and Evaluation Third International Conference, CSE 2024, Shenzhen, China, November 26–28, 2024, Proceedings, Part I

Aus der Reihe Communications in Computer and Information Science

136,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.05.2025

Abbildungen

XXII, 498 p. 206 illus., 169 illus. in color.

Herausgeber

Guangxia Xu + weitere

Verlag

Springer Singapore

Seitenzahl

498

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9645-02-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.05.2025

Abbildungen

XXII, 498 p. 206 illus., 169 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

498

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9645-02-2

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Cyberspace Simulation and Evaluation
  • Produktbild: Cyberspace Simulation and Evaluation

  • .- 
    Simulation Theory and Methodology
    .


    .- State of Health Estimation for Lithium-ion Batteries withan Attention-Integrated BiLSTM-MLP Hybrid Model.


    .- A mapping method from experimental scenario to experimental system scheme.


    .- A Toolbox for Simulation and Analysis ofStructured Light 3D Reconstruction Systems.


    .- A deep reinforcement learning algorithm to bring about stabilization of Hindmarsh-Rose neural model.


    .- Synchronization between two Hindmarsh-Rose neural models via deep reinforcement learning methodl.


    .- EmuGuard: An Active Defense System For ICS Emulation.


    .- Distributed Deep Reinforcement Learning Based Deterministic Task Offloading in End-Edge-Cloud Collaborative Computing Networks.


    .- Survey of Ubiquitous Cyberspace Visualization Based on Ontology Engineering.


    .-
    Simulation for CI scenario
    .


    .- Towards Secure Multilayer Networks: Modeling and Robustness Analysis of 3IOTs.


    .- Efficient Cross-domain Energy Sharing with lattice-based Aggregated Signature for Blockchain-enabled Smart Grid.


    .- Comprehensive Analysis of Scenario Matching Techniques in Cyberspace Security.


    .- A Lightweight DTLS Mechanism for New Power Systems Based on Edge Computing.


    .- Adaptive Frequency and Delay Compensation in MultiAgent Systems: Enhancing Communication Efficiency and  Robustness.


    .- An efficient switching mechanism of satellite and  terrestrial links for satellite internet and  simulation evaluation.


    .- MSCVP: Multiscale Network Emulation Based on the  Integration of Modeling, Simulation, Container,  Virtualization, and Physical Networks.


    .- 
    Defense Methodology in the Evaluation
    .


    .- Distributed Fiber Acoustic Sensing Home Anomaly Detection Technology Based on Lightweight YOLO.


    .- MTMixAD: Metric-Trace Mixed Anomaly Detection Framework for Microservice Systems with Limited and Mislabeled Data.


    .- HTTP DDoS Attack Detection Technology Based on PF-RING and Gaussian Naive Bayes in Containerized Environment.


    .- A Novel Approach for Advanced Persistent Threats Detection via Graph Transformer.


    .- Optimization Framework for Malware Detection Based on Adversarial Networks and Gradient Reversal.


    .- LIDS: Enhancing Industrial IoT Network Security  through Lightweight Machine Learning-Powered Intrusion Detection System.


    .- Efficient Intrusion Detection in Edge Computing with eBPF and Lightweight Networks.


    .- Zypkro: A Node-Level Anomaly Detector for Provenance  Graphs Based on Nonlinear Interaction and Adaptive  Domain Techniques.


    .- A Double-Shell Structured Ransomware Defense Method  Tailored for the RaaS Model.


    .- 
    Simulation for IoT scenario
    .


    .- I-GATEPi: An adaptive and interpretable monitoring framework for complex industrial processes.


    .- DSA-Former: Dual-Stage Attention for Soft Sensing in  Blast Furnace Ironmaking Process.


    .- Power Prediction Model Based on CNN-LSTM with Dual- Stream Attention.


    .- Modeling and prediction of gas consumption for  slab heating in steel rolling reheating furnace  based on gradient boosting decision tree with Bayesian optimization.


    .- Adaptive Particle Swarm Optimization-Simulated Annealing for Complex Workshop Task Scheduling.


    .- Self-Tuning Ensemble Empirical Mode Decomposition for  Industrial Oscillation Extraction.


    .- Recovery of Control-loop Oscillations in Industrial Time Series with Missing Values.