A Survey on Security, Privacy and Trust in Mobile Crowdsourcing

Wei Feng, Zheng Yan, Hengrun Zhang, Kai Zeng, Yu Xiao, Thomas Hou

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

30 Sitaatiot (Scopus)
253 Lataukset (Pure)


With the popularity of sensor-rich mobile devices (e.g., smart phones and wearable devices), Mobile Crowdsourcing (MCS) has emerged as an effective method for data collection and processing. Compared with traditional Wireless Sensor Networking (WSN), MCS holds many advantages such as mobility, scalability, cost-efficiency, and human intelligence. However, MCS still faces many challenges with regard to security, privacy and trust. This paper provides a survey of these challenges and discusses potential solutions. We analyze the characteristics of MCS, identify its security threats, and outline essential requirements on a secure, privacy-preserving and trustworthy MCS system. Further, we review existing solutions based on these requirements and compare their pros and cons. Finally, we point out open issues and propose some future research directions
JulkaisuIEEE Internet of Things Journal
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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  • Projektit

    Luottamuksen digitointi kaikkialla läsnäolevassa sosiaalisessa verkossa

    Yan, Z.


    Projekti: Academy of Finland: Other research funding

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