| Summary: | In this proposed method, iMCS can detect and prevent fake sensing activities of mobile users using machine learningtechniques. Our iMCS solution uses behavioral analysis based on participants' reliability scores to detect variation inbehavior of users and introduces a new role in a distributed system of MCS architecture to validate the collected data. Toevaluate the incentive based on the participant's sensory data and data quality, to properly distribute profit among theparticipants, we employ the Shapley Value approach. The evaluation results demonstrate that our method is effective inboth quality estimations and incentive sharing.
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