A Fast kNN-Based Approach for Time Sensitive Anomaly Detection over Data Streams.
Guangjun WuZhihui ZhaoGe FuHaiping WangYong WangZhenyu WangJunteng HouLiang HuangPublished in: ICCS (2) (2019)
Keyphrases
- anomaly detection
- knn
- data streams
- k nearest neighbor
- streaming data
- high dimensional data streams
- intrusion detection
- nearest neighbor
- anomalous behavior
- network traffic
- k nearest neighbour
- sliding window
- detecting anomalies
- text categorization
- one class support vector machines
- distance function
- classification algorithm
- similarity search
- knn algorithm
- network intrusion detection
- support vector machine
- detect anomalies
- intrusion detection system
- concept drift
- network anomaly detection
- feature selection
- knn classification
- unsupervised learning
- text classification
- neural network
- outlier detection
- negative selection algorithm
- data sets
- knn classifier
- decision trees
- pattern recognition
- natural language processing