Pages that link to "Item:Q1661452"
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The following pages link to Adaptive and online network intrusion detection system using clustering and extreme learning machines (Q1661452):
Displaying 9 items.
- Using the danger model of immune systems for distributed defense in modern data networks (Q869376) (← links)
- Detecting network intrusions using signal processing with query-based sampling filter (Q965345) (← links)
- Anomaly detection techniques in cyber-physical systems (Q1698569) (← links)
- A multi-class classification MCLP model with particle swarm optimization for network intrusion detection (Q1703607) (← links)
- Exploiting timed automata based fuzzy controllers for designing adaptive intrusion detection systems (Q1933806) (← links)
- Quantum beetle swarm algorithm optimized extreme learning machine for intrusion detection (Q2102188) (← links)
- Different multi-objective evolutionary programming approaches for detecting computer network attacks (Q4424354) (← links)
- Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets (Q5019887) (← links)
- Distributed Detection of APTs: Consensus vs. Clustering (Q6485953) (← links)
