Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering

Lyu, Lingjuan, Jin, Jiong, Rajasegarar, Sutharshan, He, Xuanli and Palaniswami, Marimuthu 2017, Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering, IEEE internet of things, vol. 4, no. 5, pp. 1174-1184, doi: 10.1109/JIOT.2017.2709942.

Attached Files
Name Description MIMEType Size Downloads

Title Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
Author(s) Lyu, Lingjuan
Jin, Jiong
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan
He, Xuanli
Palaniswami, Marimuthu
Journal name IEEE internet of things
Volume number 4
Issue number 5
Start page 1174
End page 1184
Total pages 11
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2017-10
ISSN 2327-4662
Keyword(s) Science & Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Anomaly detection
Fog computing
hyperellipsoidal clustering
Internet of Things (IoT)
Language eng
DOI 10.1109/JIOT.2017.2709942
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, IEEE
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 23 times in TR Web of Science
Scopus Citation Count Cited 32 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 350 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 30 Oct 2017, 21:42:55 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact