Poster: Learning distributions to detect anomalies using all the network traffic.

Alexander Dietmüller Georgia Fragkouli Laurent Vanbever

Published in: SIGCOMM (2023)

Keyphrases

network traffic
anomaly detection
detect anomalies
learning process
network security
computer networks
intrusion detection
network bandwidth
unsupervised learning
supervised learning
traffic analysis
learning algorithm
real world
frequent patterns
data processing
probabilistic model
decision trees
traffic data