A Denoising Hybrid Model for Anomaly Detection in Trajectory Sequences.
Maria LiatsikouSymeon PapadopoulosLazaros ApostolidisIoannis KompatsiarisPublished in: EDBT/ICDT Workshops (2021)
Keyphrases
- anomaly detection
- hybrid model
- denoising
- intrusion detection
- network intrusion detection
- artificial neural networks
- hybrid models
- detecting anomalies
- network traffic
- support vector regression
- hidden markov models
- anomalous behavior
- detecting anomalous
- image processing
- behavior analysis
- one class support vector machines
- unsupervised anomaly detection
- support vector machine svm
- network anomaly detection
- computer security
- detect anomalies
- intrusion detection system
- network intrusion
- unsupervised learning
- network security
- negative selection algorithm
- data sets
- k nearest neighbor
- principal component analysis
- malware detection
- classification accuracy
- genetic algorithm
- neural network
- connectionist systems