Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction.
Xiang ChenZhidan YuanZhanqi CuiDun ZhangXiaolin JuPublished in: IET Softw. (2021)
Keyphrases
- empirical studies
- feature selection
- empirical analysis
- security vulnerabilities
- prediction accuracy
- real world data sets
- risk assessment
- text categorization
- information security
- web search
- prediction model
- ranking algorithm
- security issues
- access control
- feature ranking
- feature space
- security requirements
- network security
- mutual information
- ranking functions
- experimental design
- accurate classification
- security policies
- buffer overflow
- uci datasets
- systematic review
- intrusion detection
- text classification
- multi class
- support vector machine
- support vector
- feature extraction
- feature selection algorithms
- statistical databases
- learning to rank
- naive bayes
- model selection
- key management
- feature set
- security problems
- models built
- machine learning