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.