کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
402388 676930 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Anomaly intrusion detection based on PLS feature extraction and core vector machine
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Anomaly intrusion detection based on PLS feature extraction and core vector machine
چکیده انگلیسی

To improve the ability of detecting anomaly intrusions, a combined algorithm is proposed based on Partial Least Square (PLS) feature extraction and Core Vector Machine (CVM) algorithms. Principal elements are firstly extracted from the data set using the feature extraction of PLS algorithm to construct the feature set, and then the anomaly intrusion detection model for the feature set is established by virtue of the speediness superiority of CVM algorithm in processing large-scale sample data. Finally, anomaly intrusion actions are checked and judged using this model. Experiments based on KDD99 data set verify the feasibility and validity of the combined algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 40, March 2013, Pages 1–6
نویسندگان
, , , ,