Issue No. 02 - Mar.-Apr. (2016 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MITP.2016.36
Chao Chen , Deakin University, Australia
Jun Zhang , Deakin University, Australia
Yang Xiang , Deakin University, Australia
Wanlei Zhou , Deakin University, Australia
Jonathan Oliver , Trend Micro
While researchers develop various approaches to detect Twitter spam, spammers thwart their efforts with more complex spamming strategies. The authors' in-depth analysis of more than 570 million tweets revealed three new spamming strategies: coordinated posting behavior, finite-state machine-based spam template, and passive spam.
Twitter, Australia, Software, Games, Security, Unsolicited electronic mail, Tagging
C. Chen, J. Zhang, Y. Xiang, W. Zhou and J. Oliver, "Spammers Are Becoming "Smarter" on Twitter," in IT Professional, vol. 18, no. 2, pp. 66-70, 2016.