Latest Research in Network Security and Intrusion Detection

Top Research Topics in Network Security and Intrusion Detection

• Network Security and Intrusion Detection — 99 papers
• Cryptography and Security — 58 papers
• Smart Grid Security and Resilience — 26 papers
• Vehicular Ad Hoc Networks (VANETs) — 13 papers
• Networking and Internet Architecture — 12 papers
• Software-Defined Networks and 5G — 10 papers
• Internet Traffic Analysis and Secure E-voting — 10 papers
• Machine Learning — 9 papers
• Smart Grid Energy Management — 6 papers
• Security and Verification in Computing — 6 papers

Highest-Cited Papers

1. Integrated blockchain-federated learning framework for IOT security
2. Learning fuzzy normal-operation regimes for interpretable power system anomaly detection
3. SCN security situation assessment and prediction model based on improved selective convolutional network
4. Fractal-Aware Federated AI for Personalized Demand-Side Management: A Review of Household Heterogeneity, Privacy, and Flexibility Learning
5. ADVANCED ANOMALY DETECTION IN NETWORK TRAFFIC USING ENSEMBLE MACHINE LEARNING
6. Camouflage-resistant graph neural networks for power grid anomaly detection
7. Federated MapReduce fractional deep learning for scalable and privacy-aware intrusion detection in cloud computing
8. Efficient and explainable intrusion detection for the internet of things using modified-LSTM and HTM-inspired sparse CNN with federated learning
9. Enhancing Cybersecurity in Smart High-Performance Computing Systems Using Graph-Temporal Deep Learning and Hybrid Optimization
10. Swin-Yoked neural architecture optimized by PaCFIQ for intelligent predictive security in WSN-IoT environments
11. A hybrid CNN and attentive hierarchical BiLSTM model with SMO for intrusion detection in IIoT
12. ADVANCED ANOMALY DETECTION IN NETWORK TRAFFIC USING ENSEMBLE MACHINE LEARNING
13. Asymmetric class-conditional routing in a federated quantum mixture-of-experts improves imbalanced intrusion detection in edge industrial IoT networks
14. TransGraphNet: A Transformer‐Graph Hybrid Deep Learning Model for DDoS Attack Detection in Heterogeneous Networks
15. Energy Efficient Federated Graph Reinforcement Learning and Digital Twin Assisted Demand Response for Blockchain-Enabled Self-Healing Smart Grids
16. AI-Powered Zero-Day Malware Detection Using Network Traffic Analysis
17. A cross-attention CNN–LSTM fusion model for network traffic anomaly detection
18. BAsyncFed-IDS: A buffered asynchronous federated learning-based intrusion detection system for in-vehicle networks
19. AI-Powered Zero-Day Malware Detection Using Network Traffic Analysis
20. Sybil-TraceGuard: Traceability-enhanced Sybil Guardian for Connected and Autonomous Vehicles Using Dynamic Semi-supervised GNN