Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection.
Devashish LohaniCarlos Fernando Crispim JuniorQuentin BarthélemySarah BertrandLionel RobinaultLaure TougnePublished in: RRPR (2021)
Keyphrases
- intrusion detection
- spatio temporal
- intrusion detection system
- deep belief networks
- restricted boltzmann machine
- denoising
- anomaly detection
- network security
- image sequences
- artificial immune
- data mining
- network intrusion detection
- deep learning
- network traffic
- high detection rate
- network intrusion
- false positives and false negatives
- unsupervised learning
- computer security
- information security
- moving objects
- credit card fraud detection
- detecting anomalous
- fraud detection
- data processing
- data mining techniques
- learning algorithm
- alert correlation
- data sets