A lightweight anomaly detection framework for medical wireless sensor networks

IEEE Wireless Communications and Networking Conference, WCNC

Volumn , Issue , 2013, Pages 4358-4363

  Salem, Osman ^a   Liu, Yaning ^b   Mehaoua, Ahmed ^a,c,d  

^a Huawei Technologies Co   (France)

^b JCP Consult   (France)

^c Pohang University of Science and Technology (POSTECH)   (South Korea)

^d UNIVERSITÉ BORDEAUX 1   (France)

Author keywords

Anomaly detection; Fault detection; Haar wavelet; Security; Wireless Sensor Networks

Indexed keywords

ANOMALY DETECTION; ANOMALY DETECTION FRAMEWORKS; EMERGENCY SITUATION; FAULTY MEASUREMENTS; HAAR WAVELET DECOMPOSITION; HAAR WAVELETS; ONLINE ANOMALY DETECTION; SECURITY;

ERRORS; FAULT DETECTION; WAVELET DECOMPOSITION; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 84881590473     PISSN: 15253511     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNC.2013.6555279     Document Type: Conference Paper

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