Unsupervised anomaly detection system for Nidis-s based on payload and probabilistic suffix trees.
Iñigo PeronaOlatz ArbelaitzIbai GurrutxagaJosé Ignacio MartínJavier MuguerzaJesús M. PérezPublished in: IADIS AC (1) (2009)
Keyphrases
- suffix tree
- unsupervised anomaly detection
- anomaly detection
- data structure
- semi supervised
- network traffic
- probabilistic model
- suffix array
- space requirements
- bayesian networks
- disk resident
- tree construction
- index structure
- intrusion detection
- pattern mining
- string matching
- pattern matching
- language model
- feature selection