Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering

IEEE Internet of Things Journal

Volumn 4, Issue 5, 2017, Pages 1174-1184

  Lyu, Lingjuan ^a   Jin, Jiong ^b   Rajasegarar, Sutharshan ^c   He, Xuanli ^a   Palaniswami, Marimuthu ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^c DEAKIN UNIVERSITY   (Australia)

Author keywords

Anomaly detection; Fog computing; Hyperellipsoidal clustering; Internet of Things (IoT)

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER ARCHITECTURE; ENERGY UTILIZATION; FOG; RISK MANAGEMENT;

ANOMALY DETECTION; ANOMALY DETECTION METHODS; COMPUTING ARCHITECTURE; COMPUTING PLATFORM; DISTRIBUTED ANOMALY DETECTION; EMERGENCY MANAGEMENT; HYPERELLIPSOIDAL CLUSTERING; INTERNET OF THINGS (IOT);

INTERNET OF THINGS;

EID: 85032360849     PISSN: None     EISSN: 23274662     Source Type: Journal    
DOI: 10.1109/JIOT.2017.2709942     Document Type: Article

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