Swarm intelligence in anomaly detection systems: an overview-Reference-Cited by-同舟云学术

Swarm intelligence in anomaly detection systems: an overview

Published:2018-09-20 Issue:2 Volume:43 Page:109-118
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Mishra Sanju¹^ORCID,Sagban Rafid²^ORCID,Yakoob Ali³^ORCID,Gandhi Niketa⁴^ORCID

Affiliation:

1. Department of Computer Applications, National Institute of Kurukshetra, Haryana, India

2. Department of Network Information, Faculty of Information Technology, University of Babylon, Babylon, Iraq

3. Computer Science Department, University of Babylon, Babylon, Iraq

4. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2018.1521895

Reference56 articles.

1. Medagliani P, Leguay J, Andrzej Duda, et al. Internet of things applications - from research and innovation to market deployment. In: Vermesan O, Friess P, editors. Internet of things applications - from research and innovation to market deployment, bringing IP to low-power smart objects: The smart parking case in the CALIPSO project. Series in Communications. Gistrup: The River Publishers; 2014. p. 287–313.

2. Alghuried A. A model for anomalies detection in internet of things (IoT) using inverse weight clustering and decision tree [Unpublished MSc dissertation]. Dublin Institute of Technology; 2017.

3. Ant colony optimization

4. Swarm Intelligence

5. Swarm Intelligence

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