期刊
APPLIED COMPUTING REVIEW
卷 18, 期 1, 页码 7-18出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3129676.3129685
关键词
Privacy; Security; Crowdsensing; Community-based Sensing; Participatory Sensing; Opportunistic Sensing; Internet of Things; Wireless Sensor Networks
资金
- US National Science Foundation
- US Department of Defense's ASSURE program [1560214]
- University Research Professorship Award from the University of Kentucky
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1560214] Funding Source: National Science Foundation
By using consumer devices such as cellphones, wearables and Internet of Things devices owned by citizens, crowdsensing systems are providing solutions to the community in areas such as transportation, security, entertainment and the environment through the collection of various types of sensor data. Privacy is a major issue in these systems because the data collected can potentially reveal aspects considered private by the contributors of data. We propose the Privacy-Enabled ARchitecture (PEAR), a layered architecture aimed at protecting privacy in privacy-aware crowdsensing systems. We identify and describe the layers of the architecture. We propose and evaluate the design of MetroTrack, a crowdsensing system that is based on the proposed PEAR architecture.
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