MLHat: Deployable Machine Learning for Security Defense.
Gang WangArridhana CiptadiAli AhmadzadehPublished in: KDD (2021)
Keyphrases
- machine learning
- network security
- intrusion detection
- cyber defense
- information security
- learning tasks
- defense mechanisms
- security policies
- decision trees
- security properties
- computer security
- security issues
- machine learning methods
- security systems
- statistical databases
- machine learning approaches
- security measures
- pattern recognition
- explanation based learning
- intrusion detection system
- reinforcement learning
- anomaly detection
- model selection
- access control
- knowledge acquisition
- cyber security
- knowledge representation
- security mechanisms
- functional requirements
- information warfare
- computational intelligence
- information extraction
- computer networks
- feature selection
- natural language processing
- learning systems
- information assurance
- security problems
- inductive learning
- artificial intelligence
- data mining
- security requirements
- computer vision
- distributed systems
- text mining
- support vector machine
- computer science