Anomaly Detection from Log Files Using Unsupervised Deep Learning.

Sathya Bursic Vittorio Cuculo Alessandro D'Amelio

Published in: FM Workshops (1) (2019)

Keyphrases

anomaly detection
deep learning
log files
unsupervised learning
unsupervised anomaly detection
website
intrusion detection

deep architectures
log data
supervised learning
semi supervised
weakly supervised
detecting anomalies
dimensionality reduction

web server
web users
machine learning
domain experts
detect anomalies
domain knowledge
knowledge base

one class support vector machines
object recognition
text classification
intrusion detection system
model selection
feature selection