March 7, 2024, 5:11 a.m. | Xikun Jiang, Chenhao Ying, Lei Li, Boris D\"udder, Haiqin Wu, Haiming Jin, Yuan Luo

cs.CR updates on arXiv.org arxiv.org

arXiv:2305.16793v2 Announce Type: replace-cross
Abstract: Mobile crowd sensing (MCS) has emerged as an increasingly popular sensing paradigm due to its cost-effectiveness. This approach relies on platforms to outsource tasks to participating workers when prompted by task publishers. Although incentive mechanisms have been devised to foster widespread participation in MCS, most of them focus only on static tasks (i.e., tasks for which the timing and type are known in advance) and do not protect the privacy of worker bids. In a …

arxiv cost crowd cs.cr cs.gt differential privacy mechanism mobile paradigm participation platforms popular privacy sensing task under workers

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