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Solving the crowdsourcing dilemma using the zero-determinant strategy: poster

Published: 05 July 2016 Publication History

Abstract

As a promising technology, crowdsourcing aims to accomplish a complex task via eliciting services from a large group of workers. However, recent observations indicate that the success of crowdsourcing is being hindered by the malicious behaviors of the workers. In this paper, we analyze the attack problem using an iterated prisoner's dilemma (IPD) game and propose an zero-determinant (ZD) strategy based algorithm. Simulation results demonstrate that the requestor can incentivize the worker to keep on cooperating.

References

[1]
Victor Naroditskiy, Nicholas R. Jennings, Pascal Van Hentenryck, and Manuel Cebrian. Crowdsourcing contest dilemma. Journal of the Royal Society, 11(5):1--8, 2014.
[2]
Walter S. Lasecki, Jaime Teevan, and Ece Kamar. Information extraction and manipulation threats in crowd-powered systems. In Acm Conference on Computer Supported Cooperative Work Social Computing, pages 248--256, 2014.
[3]
Aifang Xu, Xiaonan Feng, and Ye Tian. Revealing, characterizing, and detecting crowdsourcing spammers: A case study in community q a. In IEEE Conference on Computer Communications, 2015.
[4]
William H Press and Freeman J Dyson. Iterated prisoner's dilemma contains strategies that dominate any evolutionary opponent. Proceedings of NAS, 109(26):10409--10413, 2012.

Cited By

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  • (2017)Mechanism design games for thwarting malicious behavior in crowdsourcing applicationsIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8057176(1-9)Online publication date: May-2017
  • (2017)One-tag checker: Message-locked integrity auditing on encrypted cloud deduplication storageIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8056999(1-9)Online publication date: May-2017
  • (2017)RF-scanner: Shelf scanning with robot-assisted RFID systemsIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8056985(1-9)Online publication date: May-2017
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    cover image ACM Conferences
    MobiHoc '16: Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing
    July 2016
    421 pages
    ISBN:9781450341844
    DOI:10.1145/2942358
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 05 July 2016

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    Author Tags

    1. crowdsourcing
    2. game theory
    3. zero-determinant strategy

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    Overall Acceptance Rate 296 of 1,843 submissions, 16%

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    Cited By

    View all
    • (2017)Mechanism design games for thwarting malicious behavior in crowdsourcing applicationsIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8057176(1-9)Online publication date: May-2017
    • (2017)One-tag checker: Message-locked integrity auditing on encrypted cloud deduplication storageIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8056999(1-9)Online publication date: May-2017
    • (2017)RF-scanner: Shelf scanning with robot-assisted RFID systemsIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8056985(1-9)Online publication date: May-2017
    • (2017)Spatiotemporal correlation-aware dummy-based privacy protection scheme for location-based servicesIEEE INFOCOM 2017 - IEEE Conference on Computer Communications10.1109/INFOCOM.2017.8056978(1-9)Online publication date: May-2017
    • (2017)Anti-Malicious Crowdsourcing Using the Zero-Determinant Strategy2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2017.46(1137-1146)Online publication date: Jun-2017

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