Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance.
Francesco CauteruccioGiancarlo FortinoAntonio GuerrieriAntonio LiottaDecebal Constantin MocanuCristian PerraGiorgio TerracinaMaria Torres VegaPublished in: Inf. Fusion (2019)
Keyphrases
- anomaly detection
- edit distance
- machine learning
- network anomaly detection
- intrusion detection
- graph matching
- edit operations
- levenshtein distance
- anomalous behavior
- detecting anomalies
- similarity measure
- unsupervised learning
- string similarity
- network intrusion detection
- network traffic
- distance measure
- approximate matching
- distance function
- detect anomalies
- one class support vector machines
- pattern recognition
- decision trees
- tree edit distance
- string edit distance
- intrusion detection system
- text mining
- information extraction
- reinforcement learning
- model selection
- natural language processing
- dynamic programming
- feature selection
- normal behavior
- learning algorithm
- data mining
- negative selection algorithm
- neural network