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Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines

Year of publication

2018

Authors

Roshan Kokabha, Setareh; Miche, Yoan; Akusok, Anton; Lendasse, Amaury

Organizations and authors

Arcada University of Applied Sciences

Akusok Anton

Aalto University

Roshan Kokabha Setareh

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Journal of the franklin institute: engineering and applied mathematics

Publisher

Elsevier

Volume

355

Issue

4

Pages

1752-1779

ISSN

0016-0032

​Publication forum

61890

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

Yes

DOI

10.1016/j.jfranklin.2017.06.006

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes