Ensuring Honest Data Collection Against Collusive CSDF Attack With Binary-Minmaxs Clustering Analysis in Mobile Crowd Sensing
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DOI: 10.1109/access.2019.2938771
Abstract: Mobile crowd sensing (MCS) is considered as a powerful paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data. However, MCS assumes all workers always are trusted, and thus offering opportunities for malicious… read more here.
Keywords: crowd sensing; data collection; csdf attack; collusive csdf ... See more keywords