Machine learning-based jamming detection for IEEE 802.11: Design and experimental evaluation.
Oscar PuñalIsmet AktasCai-Julian SchnelkeGloria AbidinKlaus WehrleJames GrossPublished in: WoWMoM (2014)
Keyphrases
- experimental evaluation
- machine learning
- user interface
- information retrieval
- automatic detection
- feature selection
- decision trees
- false positives
- reinforcement learning
- building blocks
- data mining
- false alarms
- detection rate
- natural language processing
- pattern recognition
- learning algorithm
- data sets
- data analysis
- detection algorithm
- design process
- detection method
- face recognition
- case study
- engineering design
- machine learning approaches