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Connecting Human to Cyber-World: Security and Privacy Issues in Mobile Crowdsourcing Networks

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Security and Privacy for Next-Generation Wireless Networks

Part of the book series: Wireless Networks ((WN))

Abstract

The mobile crowdsourcing network (MCN) is a rising network architecture that comprises both crowdsensing and crowdsourcing computing. It has attracted broad attention in the world because of its powerful ability to deal with increasingly hard problems. Compared to traditional network, it is more vulnerable to be attacked for its generous payment. At the same time, an amount of input data which comes from various sources is delivered among the service providers, end users and participants, and the involved sensitive information may be revealed during the transmission. Moreover, as the characteristics of MCNs, including task crowdsourcing, human involvement, dynamic topology and heterogeneity, both security and privacy issues are more challenging. In this chapter, we review the current MCN architecture and new challenges of security and privacy issues at first. Then, we present some proposed approaches for security assurance and privacy protection in MCNs from three aspects: authentication, reputation and incentive mechanisms. Finally, possible research directions of security and privacy issues in MCNs and plenty of related reference are given.

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Authors and Affiliations

  1. Department of Computer Science and Tech, Nanjing University, Nanjing, China

    Sheng Zhong & Lei Xie

  2. School of Computer Science and Tech, Anhui University, Hefei, China

    Hong Zhong

  3. School of Mathematics and Computer Sci, Fujian Normal University, Fuzhou, China

    Xinyi Huang

  4. College of Computer Science and Tech, University of Science and Technology of Hefei, Hefei, China

    Panlong Yang

  5. School of Information Management, Nanjing University, Nanjing, China

    Jin Shi

  6. School of Internet of Things, Nanjing University of Posts and Telecomm, Nanjing, China

    Kun Wang

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Zhong, S. et al. (2019). Connecting Human to Cyber-World: Security and Privacy Issues in Mobile Crowdsourcing Networks. In: Security and Privacy for Next-Generation Wireless Networks. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-01150-5_4

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