Title :
A dynamic artificial immune-based intrusion detection method using rough and fuzzy set
Author :
Ling Zhang ; Zhongying Bai ; Shoushan Luo ; Guanning Cui ; Xing Li
Author_Institution :
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Artificial immune is proven to be an effective method for adaptive intrusion detection. By using rough set (RS) and fuzzy set (FS), a dynamic artificial immune-based intrusion detection method using rough and fuzzy set is designed (DAIIDRF). A scheme based on rough set for antibodies is proposed. Using antibodies obtainment method, excellent antibodies are promised, at the same time, the detection speed is improved, the convergence rate is higher. At last, the simulation experiments with KDD99 and the comparisons of two algorithms are given. The experimental results show its feasibility and effectiveness of the proposed method.
Keywords :
artificial immune systems; fuzzy set theory; rough set theory; security of data; DAIIDRF; KDD99; adaptive intrusion detection; antibodies obtainment method; dynamic artificial immune-based intrusion detection method; fuzzy set; rough set; Artificial immune; Fuzzy set; Intrusion detection; Rough set;
Conference_Titel :
Information and Network Security (ICINS 2013), 2013 International Conference on
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-729-8
DOI :
10.1049/cp.2013.2458
