Robust and efficient anomaly detection using heterogeneous representations.
Xing HuShiqiang HuJinhua XieShiyou ZhengPublished in: J. Electronic Imaging (2015)
Keyphrases
- anomaly detection
- intrusion detection
- network intrusion detection
- detecting anomalies
- network anomaly detection
- intrusion detection system
- detect anomalies
- network security
- behavior analysis
- anomalous behavior
- network traffic
- detecting anomalous
- one class support vector machines
- computer security
- unsupervised learning
- computer vision
- malware detection
- pattern mining
- network intrusion
- clustering algorithm
- negative selection algorithm
- machine learning