AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data.
Zheng GaoLin GuoChi MaXiao MaKai SunHang XiangXiaoqiang ZhuHongsong LiXiaozhong LiuPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- categorical data
- multiscale
- high dimensional
- cluster analysis
- numerical data
- intrusion detection
- categorical attributes
- parameter free
- detecting anomalies
- unsupervised learning
- dimensionality reduction
- anomalous behavior
- intrusion detection system
- network traffic
- network intrusion detection
- attribute values
- detect anomalies
- network anomaly detection
- image processing
- detecting anomalous
- one class support vector machines
- feature space
- negative selection algorithm
- hierarchical latent class models
- data points
- image segmentation
- detection algorithm
- training data
- feature extraction
- data mining