Statistical features-based real-time detection of drifted Twitter spam

Chen, Chao, Wang, Yu, Zhang, Jun, Xiang, Yang, Zhou, Wanlei and Min, Geyong 2017, Statistical features-based real-time detection of drifted Twitter spam, IEEE transactions on information forensics and security, vol. 12, no. 4, pp. 914-925, doi: 10.1109/TIFS.2016.2621888.

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Title Statistical features-based real-time detection of drifted Twitter spam
Author(s) Chen, Chao
Wang, YuORCID iD for Wang, Yu orcid.org/0000-0002-9807-2293
Zhang, JunORCID iD for Zhang, Jun orcid.org/0000-0002-2189-7801
Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Min, Geyong
Journal name IEEE transactions on information forensics and security
Volume number 12
Issue number 4
Start page 914
End page 925
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2017-04
ISSN 1556-6013
Keyword(s) social network security
twitter spam detection
machine learning
Language eng
DOI 10.1109/TIFS.2016.2621888
Field of Research 08 Information And Computing Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30091826

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