A Survey on Security, Privacy and Trust in Mobile Crowdsourcing
Loading...
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Date
2018
Major/Subject
Mcode
Degree programme
Language
en
Pages
24
Series
IEEE Internet of Things Journal, Volume 5, issue 4, pp. 2971-2992
Abstract
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 directionsDescription
Keywords
mobile crowdsourcing, security, privacy, trust
Other note
Citation
Feng, W, Yan, Z, Zhang, H, Zeng, K, Xiao, Y & Hou, T 2018, ' A Survey on Security, Privacy and Trust in Mobile Crowdsourcing ', IEEE Internet of Things Journal, vol. 5, no. 4, pp. 2971-2992 . https://doi.org/10.1109/JIOT.2017.2765699