Affiliation:
1. Shenzhen University, P.R. China
2. The Chinese University of Hong Kong
Abstract
Online 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.
Funder
open fund of Shenzhen Key Lab of Advanced Communications and Information Processing
Natural Science Foundation of SZU
Natural Science Foundation of China
Hong Kong RGC support via GRF
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture
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