A Competitive Neural Network for Intrusion Detection Systems

被引：0

作者：

Palomo, Esteban Jose ^{[1
]}

Dominguez, Enrique ^{[1
]}

Luque, Rafael Marcos ^{[1
]}

Munoz, Jose ^{[1
]}

机构：

[1] Univ Malaga, Dept Comp Sci, ETSI Informat, E-29071 Malaga, Spain

来源：

MODELLING, COMPUTATION AND OPTIMIZATION IN INFORMATION SYSTEMS AND MANAGEMENT SCIENCES, PROCEEDINGS | 2008年 / 14卷

关键词：

Competitive learning; network security; intrusion detection system; data mining;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Detecting network intrusions is becoming crucial in computer networks. In this paper, and Intrusion Detection System based on a competitive learning neural network is presented. Most of the related works use the self-organizing map (SOM) to implement an IDS. However, the competitive neural network has less complexity and it is faster than the SOM, achieving similar results. In order to improve these results, we have used a repulsion method among neurons to avoid overlapping. Moreover, we have taken into account the presence of quantitative data in the input data, and they have been pre-processed appropriately to be supplied to the neural network. Therefore, the current metric based on Euclidean distance to compare two vectors can be used. The experimental results were obtained by applying the KDD Cup 1999 benchmark data set, which contains a great variety of simulated networks attacks. Comparison with other related works is provided.

引用

页码：530 / 537

页数：8

共 50 条

[11] A Novel Random Neural Network Based Approach for Intrusion Detection Systems
Qureshi, Ayyaz-Ul-Haq
Larijani, Hadi
Ahmad, Jawad
Mtetwa, Nhamoinesu
2018 10TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING CONFERENCE (CEEC), 2018, : 50 - 55
[12] Research of wavelet neural network based host intrusion detection systems
Wang, Zimin
Tan, Yonghong
WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING, VOL 1 AND 2, 2006, : 1007 - +
[13] A Neural Network-Based Learning Algorithm for Intrusion Detection Systems
Hassan I. Ahmed
Nawal A. Elfeshawy
S. F. Elzoghdy
Hala S. El-sayed
Osama S. Faragallah
Wireless Personal Communications, 2017, 97 : 3097 - 3112
[14] A comparative analysis of Artificial Neural Network technologies in intrusion detection systems
University of Engineering and Technology, Taxila, Pakistan
WSEAS Trans. Comput., 2007, 1 (175-180):
[15] Performance Analysis of an Intrusion Detection Systems Based of Artificial Neural Network
Saber, Mohammed
El Farissi, Ilhame
Chadli, Sara
Emharraf, Mohamed
Belkasmi, Mohammed Ghaouth
EUROPE AND MENA COOPERATION ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGIES, 2017, 520 : 511 - 521
[16] A Neural Network-Based Learning Algorithm for Intrusion Detection Systems
Ahmed, Hassan I.
Elfeshawy, Nawal A.
Elzoghdy, S. F.
El-sayed, Hala S.
Faragallah, Osama S.
WIRELESS PERSONAL COMMUNICATIONS, 2017, 97 (02) : 3097 - 3112
[17] Neural Network Based Intrusion Detection Systems with Different Training Functions
Karatas, Gozde
Sahingoz, Ozgur Koray
2018 6TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSIC AND SECURITY (ISDFS), 2018, : 73 - 78
[18] Statistical Metamorphic Testing of Neural Network Based Intrusion Detection Systems
Reitman, Faqeer Ur
Izurieta, Clemente
PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE (IEEE CSR), 2021, : 20 - 26
[19] A neural model for network intrusion detection
Najarian, K
Sun, XL
Ahn, GJ
Hadzikadic, M
6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XII, PROCEEDINGS: INDUSTRIAL SYSTEMS AND ENGINEERING II, 2002, : 554 - 559
[20] Using Artificial Neural Network in Intrusion Detection Systems to Computer Networks
Dias, L. P.
Cerqueira, J. J. F.
Assis, K. D. R.
Almeida, R. C., Jr.
2017 9TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING (CEEC), 2017,

← 1 2 3 4 5 →