The Application of Extreme Learning Machines to the Network Intrusion Detection Problem

被引：9

作者：

Creech, Gideon ^{[1
,2
]}

Jiang, Frank ^{[1
]}

机构：

[1] Univ New South Wales, Australian Def Force Acad, Royal Australian Navy, Sydney, NSW 2052, Australia

[2] Royal Austrilian Navy, Canberra, ACT, Australia

来源：

NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2012), VOLS A AND B | 2012年 / 1479卷

关键词：

Multi-layer neural network; intrusion detection systems; pattern recognition; SCHEME;

D O I：

10.1063/1.4756450

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The Extreme Learning Machine (ELM) algorithm conventionally suffers from the inferior batch training performance. In this paper, a new approach to combine ELM outputs is proposed with a view to further develop a persistent IDS. Specifically, this paper proposes the application of an Extreme Learning Machine based approach to the network-based intrusion detection system (IDSs). Good performance is achieved and preliminary results are reported in this paper.

引用

页码：1506 / 1511

页数：6

共 30 条

[1]

[Anonymous], 2012, KDD99 INTR DET DAT

[2]

Araujo Nelcileno, 2010, 2010 17th International Conference on Telecommunications (ICT 2010), P552, DOI 10.1109/ICTEL.2010.5478852

[3]

Ashok R, 2011, 2011 THIRD INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC), P23, DOI 10.1109/ICoAC.2011.6165213

[4]

Aussibal Julien, 2008, 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems, P701, DOI 10.1109/SITIS.2008.115

[5]

Barapatre P., 2008, International Conference on Computing, Communication and Networking NewYork-USA, P1

[6]

Danziger M., 2010, 2010 10th International Conference on Hybrid Intelligent Systems (HIS 2010), P201, DOI 10.1109/HIS.2010.5600083

[7]

Ding YX, 2009, PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, P1414, DOI 10.1109/ICMLC.2009.5212282

[8]

Han Zhong-Xiang, 2010, 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010), P698, DOI 10.1109/ICICISYS.2010.5658466

[9]

Hoang XD, 2004, IEEE INT CONF NETWOR, P470

[10]

Hoang XD, 2003, ICON 2003: 11TH IEEE INTERNATIONAL CONFERENCE ON NETWORKS, P531

← 1 2 3 →