کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6905758 | 862824 | 2014 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Defending against XML-related attacks in e-commerce applications with predictive fuzzy associative rules
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
- 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 24, November 2014, Pages 142-157
Journal: Applied Soft Computing - Volume 24, November 2014, Pages 142-157
نویسندگان
Gaik-Yee Chan, Chien-Sing Lee, Swee-Huay Heng,