Fuzzy clustering method based on genetic algorithm in intrusion detection study
Regarding the problem that fuzzy c-means algorithm(FCM) was sensitive to the initial value and converging to the local infinitesimal point easily, applies genetic algorithm to optimization of the FCM algorithm.Firstly, the results of FCM will be sent to the genetic algorithm for optimization, then t...
Saved in:
| Main Author: | HUANG Min-ming LIN Bo-gang |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74649941/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Clustering and Detecting Network Intrusion Based on Fuzzy Algorithms
by: Manar Kashmola, et al.
Published: (2012-12-01) -
Intrusion detection model based on fuzzy theory and association rules
by: Jianwu ZHANG, et al.
Published: (2019-05-01) -
Intrusion detection model based on fuzzy theory and association rules
by: Jianwu ZHANG, et al.
Published: (2019-05-01) -
Application of the Genetic Algorithm in the Network Intrusion Detection System Using NSL-KDD Data
by: Naglaa Ibrahim, et al.
Published: (2013-07-01) -
Using Artificial Intelligence Techniques For Intrusion Detection System
by: Manar Ahmed, et al.
Published: (2013-02-01)