Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian Network.
Francesca ArgentiGabriele LanducciGenserik ReniersValerio CozzaniPublished in: Reliab. Eng. Syst. Saf. (2018)
Keyphrases
- bayesian networks
- buffer overflow
- security risks
- denial of service
- risk assessment
- student modeling
- dos attacks
- countermeasures
- security vulnerabilities
- conditional independence
- security threats
- graphical models
- malicious attacks
- bayesian network structure
- structural learning
- probabilistic reasoning
- traffic analysis
- inference in bayesian networks
- learning bayesian networks
- conditional probabilities
- attack detection
- decision trees
- watermarking algorithm
- structure learning
- watermarking scheme
- diagnostic reasoning
- facility location problem
- cryptographic protocols
- security mechanisms
- hidden variables
- malicious users
- data corruption
- probabilistic inference