Resilient Participant Selection Under Vulnerability Induced Colluding Attacks for Crowdsourcing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3171396
Abstract: This paper investigates the problem of participant selection considering colluding attacks for crowdsourcing. Compared with existing work, a practical vulnerability-induced colluding attack model is considered, where the malicious participants with different vulnerability levels collude with… read more here.
Keywords: participant selection; induced colluding; vulnerability induced; colluding attacks ... See more keywords
PSARE: A RL-based Online Participant Selection Scheme Incorporating Area Coverage Ratio and Degree in Mobile Crowdsensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3183607
Abstract: Mobile crowdsensing (MCS) is a cost-effective paradigm for gathering real-time and location-related urban sensing data. To complete MCS tasks, MCS platform needs to exploit the trajectory of participants (vehicles or individuals, etc.) for effectively choosing… read more here.
Keywords: participant selection; coverage; psare; based online ... See more keywords
Shedding light on participant selection bias in Ecological Momentary Assessment (EMA) studies: Findings from an internet panel study
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DOI: 10.1371/journal.pone.0282591
Abstract: Although the potential for participant selection bias is readily acknowledged in the momentary data collection literature, very little is known about uptake rates in these studies or about differences in the people that participate versus… read more here.
Keywords: internet panel; selection bias; participant selection; study ... See more keywords