Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
journal contribution
posted on 2017-10-01, 00:00 authored by L Lyu, J Jin, Sutharshan RajasegararSutharshan Rajasegarar, X He, M PalaniswamiFog-empowered anomaly detection in IoT using hyperellipsoidal clustering
History
Journal
IEEE Internet of Things JournalVolume
4Pagination
1174-1184Location
Piscataway, N.J.ISSN
2327-4662eISSN
2327-4662Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2017, IEEEIssue
5Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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Keywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringAnomaly detectionFog computinghyperellipsoidal clusteringInternet of Things (IoT)WIRELESS SENSOR NETWORKS080109 Pattern Recognition and Data Mining890202 Application Tools and System Utilities970108 Expanding Knowledge in the Information and Computing SciencesSchool of Information Technology4606 Distributed computing and systems software
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