Defending against XML-related attacks in e-commerce applications with predictive fuzzy associative rules

- A predictive fuzzy associative rule model to validate inputs to counter XML attacks.
- The model discovers fuzzy associative patterns to improve decision outcomes.
- The model is able to identify 18 interesting rules with at least 99% confidence.
- Determining frequently occurring features addresses the feature selection problem.
- Classification using random forests is 99% or more with near zero error measures.