Magnetic Anomaly Detection Based on Full Connected Neural Network.
Shuchang LiuJiafei HuPeisen LiChengbiao WanZhuo ChenMengchun PanQi ZhangZhongyan LiuSiwei WangDixiang ChenJingtao HuXue PanPublished in: IEEE Access (2019)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- artificial neural networks
- detecting anomalous
- intrusion detection system
- computer security
- pattern recognition
- unsupervised anomaly detection
- behavior analysis
- one class support vector machines
- detect anomalies
- connectionist systems
- self organizing maps
- negative selection algorithm
- malware detection
- network intrusion
- cumulative sum
- network security
- data mining
- unsupervised learning
- reinforcement learning
- network anomaly detection
- data sets
- knowledge discovery
- misuse detection
- maximum entropy
- decision trees