An Improved Grey Self-Organizing Map Based DOS Detection

被引：0

作者：

Chen, Rui ^{[1
]}

Wei, Jin-yu ^{[1
]}

Yu, He-feng ^{[2
]}

机构：

[1] Tianjin Univ Technol, Dept Management Sci & Engn, Tianjin 300191, Peoples R China

[2] Tianjin Univ Technol, Dept Comp Sci & Technol, Tianjin 300191, Peoples R China

来源：

2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年

关键词：

Deny of Service (DOS); SOM; Grey Theory; Gray Correlation Coefficient;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an improved Grey Self-Organizing Map (GSOM) model is proposed and applied in the detection of Deny of Service (DOS) attack. For detection of the DOS attacks, this improved model can consider the relativity of the data set of DOS attacks. Finally, the experiments on the DOS data set confirm their validities and feasibilities over this improved GSOM model.

引用

页码：172 / +

页数：2

共 50 条

[21] The self-organizing map
Kohonen, T
NEUROCOMPUTING, 1998, 21 (1-3) : 1 - 6
[22] The self-organizing map
Helsinki University of Technology, Neural Networks Res. Ctr., P.O. B., FIN-02015 HUT, Finland
Neurocomputing, 1-3 (1-6):
[23] THE SELF-ORGANIZING MAP
KOHONEN, T
PROCEEDINGS OF THE IEEE, 1990, 78 (09) : 1464 - 1480
[24] An Improved Self-Organizing Map for Bugs Data Clustering
Ahmed, Attika
Ghazali, Rozaida
2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS), 2016, : 135 - 140
[25] Fusion of self-organizing map and granular self-organizing map for microblog summarization
Naveen Saini
Sriparna Saha
Sahil Mansoori
Pushpak Bhattacharyya
Soft Computing, 2020, 24 : 18699 - 18711
[26] Segmentation of market with an improved self-organizing map network
Pang, Xiuli
Feng, Yuqiang
Jiang, Wei
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 416 - 425
[27] Fusion of self-organizing map and granular self-organizing map for microblog summarization
Saini, Naveen
Saha, Sriparna
Mansoori, Sahil
Bhattacharyya, Pushpak
SOFT COMPUTING, 2020, 24 (24) : 18699 - 18711
[28] Mobile Anomaly Detection Based on Improved Self-Organizing Maps
Yin, Chunyong
Zhang, Sun
Kim, Kwang-jun
MOBILE INFORMATION SYSTEMS, 2017, 2017
[29] Intrusion Detection Based on Self-Organizing Map and Artificial Immunisation Algorithm
Chen, Zhenguo
Zhang, Guanghua
Tian, Liqin
Geng, Zilin
ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2, 2010, 439-440 : 29 - +
[30] LANDMINE DETECTION BASED ON GENERALIZED RIEMANNIAN QUATERNION SELF-ORGANIZING MAP
Song, Yicheng
Natsuaki, Ryo
Hirose, Akira
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 8307 - 8310

← 1 2 3 4 5 →