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Asia Pacific Requirements Engeneering Conference

APRES 2017: Requirements Engineering for Internet of Things pp 114–120Cite as

Crowd Vigilante

Detecting Sabotage in Crowdsourcing

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 809))

Abstract

Crowdsourcing is a complex and sociotechnical problem solving approach for collaboration of geographically distributed volunteer crowd to contribute to the achievement of a common task. One of the major issues faced by crowdsourced projects is the trustworthiness of the crowd. This paper presents a vision to develop a framework with supporting methods and tools for early detection of the malicious acts of sabotage in crowdsourced projects by utilizing and scaling digital forensic techniques. The idea is to utilize the crowd to build the digital evidence of sabotage with systematic collection and analysis of data from the same crowdsourced project where the threat is situated. The proposed framework aims to improve the security of the crowdsourced projects and their outcomes by building confidence about the trustworthiness of the workers.

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Author information

Authors and Affiliations

  1. Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia

    Muneera Bano

  2. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia

    Muneera Bano & Didar Zowghi

Authors
  1. Muneera Bano
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  2. Didar Zowghi
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Corresponding author

Correspondence to Muneera Bano .

Editor information

Editors and Affiliations

  1. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Massila Kamalrudin

  2. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Sabrina Ahmad

  3. Riphah International University, Islamabad, Pakistan

    Naveed Ikram

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Bano, M., Zowghi, D. (2018). Crowd Vigilante. In: Kamalrudin, M., Ahmad, S., Ikram, N. (eds) Requirements Engineering for Internet of Things. APRES 2017. Communications in Computer and Information Science, vol 809. Springer, Singapore. https://doi.org/10.1007/978-981-10-7796-8_9

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  • DOI: https://doi.org/10.1007/978-981-10-7796-8_9

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7795-1

  • Online ISBN: 978-981-10-7796-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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