Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework

arXiv:2609.39584 · cs.CR, cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.CR, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Aggregation — 22× in this paper · explained in 1 episode
• Accuracy — 18× in this paper · explained in 1 episode
• Federated Learning — 15× in this paper · explained in 15 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Feature Extraction — 9× in this paper · explained in 2 episodes
• Cosine Similarity — 7× in this paper · explained in 3 episodes
• Edge Devices — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation study — 4× in this paper · explained in 1 episode
• Feature Engineering — 4× in this paper · explained in 3 episodes
• Internet of Things — 4× in this paper
• Concept Drift — 3× in this paper · explained in 4 episodes
• Intrusion Detection System — 3× in this paper
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Hybrid Architectures — 2× in this paper · explained in 3 episodes
• Non-IID Data — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• 1D CNN — 1× in this paper · explained in 2 episodes
• Accuracy and False Positive Rate — 1× in this paper
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Decentralized Federated Learning — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network

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