When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions.
Denver DashBranislav KvetonJohn Mark AgostaEve M. SchoolerJaideep ChandrashekarAbraham BachrachAlex NewmanPublished in: AAAI (2006)
Keyphrases
- probabilistic inference
- graphical models
- network intrusions
- message passing
- influence diagrams
- bayesian networks
- weighted model counting
- approximate inference
- intrusion detection
- bayesian belief networks
- network attacks
- distributed systems
- context specific independence
- conditional probabilities
- detection algorithm
- anomaly detection
- network intrusion detection
- variable elimination
- elimination algorithm
- data sets
- peer to peer
- intrusion detection system
- pairwise
- data mining