Autoencoder-based Unsupervised Intrusion Detection using Multi-Scale Convolutional Recurrent Networks.
Amardeep SinghJulian Jang-JaccardPublished in: CoRR (2022)
Keyphrases
- intrusion detection
- recurrent networks
- restricted boltzmann machine
- multiscale
- recurrent neural networks
- intrusion detection system
- anomaly detection
- feed forward
- deep learning
- biologically inspired
- unsupervised anomaly detection
- network security
- neural network
- network intrusion detection
- semi supervised
- network traffic
- network intrusion
- unsupervised learning
- data mining
- information security
- high detection rate
- detecting anomalous
- alert correlation
- artificial immune
- learning algorithm
- computer security
- image processing
- image segmentation
- distributed intrusion detection
- artificial neural networks
- cyber security
- false positives and false negatives
- database systems
- computer networks
- dimensionality reduction
- outlier mining
- back propagation
- misuse detection
- machine learning