NotiFi: a ubiquitous WiFi-based abnormal activity detection system

Zhu, Dali, Pang, Na, Li, Gang and Liu, Shaowu 2017, NotiFi: a ubiquitous WiFi-based abnormal activity detection system, in IJCNN 2017 : Proceedings of the International Joint Conference on Neural Networks 2017, IEEE, Piscataway, N.J., pp. 1766-1773, doi: 10.1109/IJCNN.2017.7966064.

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Title NotiFi: a ubiquitous WiFi-based abnormal activity detection system
Author(s) Zhu, Dali
Pang, Na
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Liu, Shaowu
Conference name International Joint Conference on Neural Networks (2017 : Anchorage, Alaska)
Conference location Anchorage, Alaska
Conference dates 2017/05/14 - 2017/05/19
Title of proceedings IJCNN 2017 : Proceedings of the International Joint Conference on Neural Networks 2017
Publication date 2017
Conference series International Joint Conference on Neural Networks
Start page 1766
End page 1773
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 9781509061815
Language eng
DOI 10.1109/IJCNN.2017.7966064
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103826

Document type: Conference Paper
Collection: School of Information Technology
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