Behaviorial-Based Network Flow Analyses for Anomaly Detection in Sequential Data Using Temporal Convolutional Networks.
Wen-Hui LinPing WangBao-Hua WuMing-Sheng JhouKuo-Ming ChaoChi-Chun LoPublished in: ICEBE (2019)
Keyphrases
- anomaly detection
- network flow
- sequential data
- spatio temporal
- hidden markov models
- intrusion detection
- fixed length
- detecting anomalies
- linear programming
- anomalous behavior
- network traffic
- integer programming
- minimum cost
- sequential patterns
- network intrusion detection
- intrusion detection system
- social networks
- sequence data
- sequential pattern mining
- variable length
- pattern mining
- one class support vector machines
- optimization model
- negative selection algorithm
- bipartite graph
- unsupervised learning
- multi dimensional
- high dimensional
- detect anomalies
- image sequences
- computer vision
- pattern discovery
- text mining
- object recognition
- objective function
- feature extraction