Analysis and detection of fake views in online video services
Refereed conference paper presented and published in conference proceedings


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AbstractOnline video-on-demand(VoD) services invariably maintain a view count for each video they serve, and it has become an important currency for various stakeholders, from viewers, to content owners, advertizers, and the online service providers themselves. There is often significant financial incentive to use a robot (or a botnet) to artificially create fake views. How can we detect fake views? Can we detect them (and stop them) efficiently? What is the extent of fake views with current VoD service providers? These are the questions we study in this article. We develop some algorithms and show that they are quite effective for this problem.
All Author(s) ListChen L., Zhou Y., Chiu D.M.
Year2015
Month1
Day1
Volume Number11
Issue Number2
PublisherAssociation for Computing Machinary, Inc.
Place of PublicationUnited States
ISSN1551-6865
LanguagesEnglish-United Kingdom
KeywordsFake view, Online video service

Last updated on 2020-15-09 at 01:36