Towards fast and lightweight spam account detection in mobile social networks through fog computing-Reference-Cited by-同舟云学术

Towards fast and lightweight spam account detection in mobile social networks through fog computing

Published:2017-06-01 Issue:4 Volume:11 Page:778-792
ISSN:1936-6442
Container-title:Peer-to-Peer Networking and Applications
language:en
Short-container-title:Peer-to-Peer Netw. Appl.

Author:

Zhang Jiahao,Li Qiang,Wang Xiaoqi,Feng Bo,Guo Dong

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s12083-017-0559-3/fulltext.html

Reference28 articles.

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3. (2016). Mobile twitter: 164m+ (75%) access from handheld devices monthly, 65% of ad sales come from mobile. http://techcrunch.com/2013/10/03/mobile-twitter-161m-access-from-handheld-devices-each-month-65-of-ad-revenues-coming-from-mobile/

4. Lee S, Warningbird JK (2012) Detecting suspicious urls in twitter stream NDSS

5. (2016). Fighting spam with botmaker. https://blog.twitter.com/2014/fighting-spam-with-botmaker

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