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 the 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 paper. We develop some algorithms and show their effectiveness for this problem.
Original language | English |
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Title of host publication | NOSSDAV '14 |
Subtitle of host publication | Proceedings of Network and Operating System Support on Digital Audio and Video Workshop |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781450327060 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 24th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2014 - Singapore, Singapore Duration: 19 Mar 2014 → 20 Mar 2014 |
Conference
Conference | 24th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2014 |
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Country/Territory | Singapore |
City | Singapore |
Period | 19/03/14 → 20/03/14 |
Keywords
- measurement
- experimentation
- reliability
- VoD service
- Fake view