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1a survey on privacy in mobile crowd sensing task management.
| Content Provider | CiteSeerX |
|---|---|
| Author | Pournajaf, Layla Xiong, Li Garcia-Ulloa, Daniel A. Sunderam, Vaidy |
| Abstract | Abstract—Mobile crowd sensing enables a broad range of novel applications by leveraging mobile devices and smartphone users worldwide. While this paradigm is immensely useful, it involves the collection of detailed information from sensors and their carriers (i.e. participants) during task management processes including sensor recruitment and task distribution. Such infor-mation might compromise participant privacy in various regards by identification or disclosure of sensitive attributes – thereby increasing vulnerability and subsequently reducing participation. In this survey, we identify different task management approaches in mobile crowd sensing, and assess the threats to participant pri-vacy when personal information is disclosed. We also outline how privacy mechanisms are utilized in existing sensing applications to address these threats. Finally, we discuss continuing challenges facing participant privacy-preserving approaches during task management. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Mobile Crowd Sensing Task Management Task Management Broad Range Detailed Information Sensor Recruitment Smartphone User Various Regard Abstract Mobile Participant Privacy-preserving Approach Mobile Crowd Sensing Task Distribution Novel Application Privacy Mechanism Participant Privacy Sensitive Attribute Mobile Device Personal Information Different Task Management Approach |
| Content Type | Text |
