research-article

Analysis and Detection of Fake Views in Online Video Services

Authors:

Dah Ming ChiuAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 11, Issue 2s

Article No.: 44, Pages 1 - 20

https://doi.org/10.1145/2700290

Published: 24 February 2015 Publication History

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.

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Cited By

Varshney DVishwakarma D(2021)ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP)10.1109/ICCCSP52374.2021.9465497(244-249)Online publication date: 24-May-2021
https://doi.org/10.1109/ICCCSP52374.2021.9465497
Kim CKim H(2020)Identification of the Use of Unauthorized Apps in the O2O Service by Combining Online Events and Offline ConditionsElectronics10.3390/electronics91119779:11(1977)Online publication date: 22-Nov-2020
https://doi.org/10.3390/electronics9111977
Kuai HZhong N(2020)The Extensible Data-Brain Model: Architecture, Applications and DirectionsJournal of Computational Science10.1016/j.jocs.2020.101103(101103)Online publication date: May-2020
https://doi.org/10.1016/j.jocs.2020.101103
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Index Terms

Analysis and Detection of Fake Views in Online Video Services
1. Computing methodologies
  1. Machine learning
2. Networks
  1. Network services
    1. Network management
    2. Network monitoring

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 11, Issue 2s

Special Issue on MMSYS 2014

February 2015

138 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/2739966

Editor:
Ralf Steinmetz
Technische Universität Darmstadt, Germany

Issue’s Table of Contents

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2015

Accepted: 01 October 2014

Revised: 01 September 2014

Received: 01 April 2014

Published in TOMM Volume 11, Issue 2s

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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

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Cited By

Varshney DVishwakarma D(2021)ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP)10.1109/ICCCSP52374.2021.9465497(244-249)Online publication date: 24-May-2021
https://doi.org/10.1109/ICCCSP52374.2021.9465497
Kim CKim H(2020)Identification of the Use of Unauthorized Apps in the O2O Service by Combining Online Events and Offline ConditionsElectronics10.3390/electronics91119779:11(1977)Online publication date: 22-Nov-2020
https://doi.org/10.3390/electronics9111977
Kuai HZhong N(2020)The Extensible Data-Brain Model: Architecture, Applications and DirectionsJournal of Computational Science10.1016/j.jocs.2020.101103(101103)Online publication date: May-2020
https://doi.org/10.1016/j.jocs.2020.101103
Lamba HShah NTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Modeling Dwell Time Engagement on Visual MultimediaProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330973(1104-1113)Online publication date: 25-Jul-2019
https://dl.acm.org/doi/10.1145/3292500.3330973
Chen HSun YGao JHu YYin B(2019)Solving Partial Least Squares Regression via Manifold Optimization ApproachesIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2018.284486630:2(588-600)Online publication date: Feb-2019
https://doi.org/10.1109/TNNLS.2018.2844866
Nilforoshan HShah N(2019)SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)10.1109/DSAA.2019.00050(351-363)Online publication date: Oct-2019
https://doi.org/10.1109/DSAA.2019.00050
Jr SCampos GTavares GIgawa RJr MGuido R(2018)Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on WaveletsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318350614:1s(1-17)Online publication date: 26-Mar-2018
https://dl.acm.org/doi/10.1145/3183506
Al-Qurishi MHossain MAlrubaian MRahman SAlamri A(2018)Leveraging Analysis of User Behavior to Identify Malicious Activities in Large-Scale Social NetworksIEEE Transactions on Industrial Informatics10.1109/TII.2017.275320214:2(799-813)Online publication date: Feb-2018
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Wang BHu YGao JSun YYin B(2018)Localized LRR on Grassmann Manifold: An Extrinsic ViewIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2017.275706328:10(2524-2536)Online publication date: Oct-2018
https://doi.org/10.1109/TCSVT.2017.2757063
Wang BHu YGao JAli MTien DSun YYin B(2018)Low Rank Representation on SPD matrices with Log-Euclidean metricPattern Recognition10.1016/j.patcog.2017.07.00976:C(623-634)Online publication date: 1-Apr-2018
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