Stealthy Cyber Anomaly Detection On Large Noisy Multi-material 3D Printer Datasets Using Probabilistic Models.
Srikanth B. YoginathMichael D. IannaconeVarisara TansakulAli PassianRob JordanJoel AsiamahM. Nance EricsonGavin B. LongJoel A. DawsonPublished in: AMSec@CCS (2022)
Keyphrases
- anomaly detection
- probabilistic model
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- graphical models
- expectation maximization
- intrusion detection system
- detect anomalies
- computer security
- anomalous behavior
- behavior analysis
- unsupervised anomaly detection
- detecting anomalous
- negative selection algorithm
- bayesian networks
- network anomaly detection
- hidden variables
- unsupervised learning
- network security
- malware detection
- one class support vector machines
- conditional random fields
- data mining algorithms
- hidden markov models
- image segmentation
- feature selection
- genetic algorithm
- cumulative sum
- data sets