Distributed Detection of APTs: Consensus vs. Clustering.
Juan E. RubioCristina AlcarazRuben RiosRodrigo RomanJavier LópezPublished in: ESORICS (1) (2020)
Keyphrases
- clustering algorithm
- k means
- detection algorithm
- anomaly detection
- detection accuracy
- distributed systems
- consensus clustering
- distributed environment
- clustering method
- cluster ensemble
- false alarms
- object detection
- data clustering
- unsupervised learning
- false positives
- clustering analysis
- moving objects
- fault tolerant
- data sets
- distributed data
- data streams
- categorical data
- computing environments
- fuzzy clustering
- automatic detection
- mobile agents
- detection rate
- document clustering
- multi agent systems
- cluster analysis
- outlier detection
- self organizing maps