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https://doi.org/10.2139/ssrn.4678010

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inferredcites →https://doi.org/10.1016/j.future.2021.09.016openalex-extracted
An Anti-Malicious Task Allocation Mechanism in Crowdsensing Systems
inferredcites →https://doi.org/10.1016/j.ins.2009.09.021openalex-extracted
Three-way decisions with probabilistic rough sets
inferredcites →https://doi.org/10.1016/j.jjimei.2023.100167openalex-extracted
An investigation of crowdsourcing methods in enhancing the machine learning approach for detecting online recruitment fraud
inferredcites →https://doi.org/10.1016/j.jnca.2021.103315openalex-extracted
Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey
inferredcites →https://doi.org/10.1016/j.neucom.2017.01.127openalex-extracted
Mobile crowd sensing of human-like intelligence using social sensors: A survey
inferredcites →https://doi.org/10.1109/3ict53449.2021.9581443openalex-extracted
AI-Based Anomaly and Data Posing Classification in Mobile Crowd Sensing
inferredcites →https://doi.org/10.1109/access.2017.2660461openalex-extracted
Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing
inferredcites →https://doi.org/10.1109/access.2019.2920922openalex-extracted
Dynamic and Privacy-Preserving Reputation Management for Blockchain-Based Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/bigdata.2018.8622335openalex-extracted
Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/ccnc.2017.7983200openalex-extracted
A novel cleaning approach of environmental sensing data streams
inferredcites →https://doi.org/10.1109/comst.2019.2914030openalex-extracted
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
inferredcites →https://doi.org/10.1109/glocom.2014.7417008openalex-extracted
Crowdsensing with Social Network-Aided Collaborative Trust Scores
inferredcites →https://doi.org/10.1109/glocom.2015.7417008openalex-extracted
Crowdsensing with Social Network-Aided Collaborative Trust Scores
inferredcites →https://doi.org/10.1109/icc.2016.7511255openalex-extracted
Data correlation based crowdsensing enhancement for environment monitoring
inferredcites →https://doi.org/10.1109/icccn.2016.7568484openalex-extracted
A Survey of Mobile Crowdsensing Techniques: A Critical Component for the Internet of Things
inferredcites →https://doi.org/10.1109/icdm.2008.17openalex-extracted
Isolation Forest
inferredcites →https://doi.org/10.1109/jiot.2019.2904704openalex-extracted
Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach
inferredcites →https://doi.org/10.1109/jiot.2020.2996229openalex-extracted
CrowdR-FBC: A Distributed Fog-Blockchains for Mobile Crowdsourcing Reputation Management
inferredcites →https://doi.org/10.1109/jiot.2022.3153473openalex-extracted
Achieving Privacy-Preserving Multitask Allocation for Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/sose.2019.00014openalex-extracted
Invited Paper: AI-Based Security Design of Mobile Crowdsensing Systems: Review, Challenges and Case Studies
inferredcites →https://doi.org/10.1109/tifs.2019.2903659openalex-extracted
Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things
inferredcites →https://doi.org/10.1109/tii.2019.2948068openalex-extracted
A Personalized Privacy Protection Framework for Mobile Crowdsensing in IIoT
inferredcites →https://doi.org/10.1109/tmc.2017.2714668openalex-extracted
Data Quality Guided Incentive Mechanism Design for Crowdsensing
inferredcites →https://doi.org/10.1109/tmc.2019.2962457openalex-extracted
Multi-Task Allocation Under Time Constraints in Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/tmc.2021.3133365openalex-extracted
Data Poisoning Attacks and Defenses in Dynamic Crowdsourcing With Online Data Quality Learning
inferredcites →https://doi.org/10.1109/tnet.2014.2379281openalex-extracted
Budget-Feasible Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully
inferredcites →https://doi.org/10.1109/tpds.2018.2881735openalex-extracted
CrowdBC: A Blockchain-Based Decentralized Framework for Crowdsourcing
inferredcites →https://doi.org/10.1109/tvt.2021.3117696openalex-extracted
A Trust-Driven Contract Incentive Scheme for Mobile Crowd-Sensing Networks
inferredcites →https://doi.org/10.1109/twc.2018.2885747openalex-extracted
A Stackelberg Game Approach Toward Socially-Aware Incentive Mechanisms for Mobile Crowdsensing
inferredcites →https://doi.org/10.1145/1367497.1367646openalex-extracted
Feature weighting in content based recommendation system using social network analysis
inferredcites →https://doi.org/10.1145/3139256openalex-extracted
Quality of Information in Mobile Crowdsensing
inferredcites →https://doi.org/10.1145/3154423openalex-extracted
Estimating Spatial Averages of Environmental Parameters Based on Mobile Crowdsensing
inferredcites →https://doi.org/10.1145/3185504openalex-extracted
A Survey of Mobile Crowdsensing Techniques
inferredcites →https://doi.org/10.1177/1536867x0300300101openalex-extracted
Instrumental Variables and GMM: Estimation and Testing
inferredcites →https://doi.org/10.23919/splitech.2019.8783092openalex-extracted
A Blockchain based Architecture for the Detection of Fake Sensing in Mobile Crowdsensing
inferredcites →https://doi.org/10.3390/electronics9020215openalex-extracted
A Blockchain-Based Hybrid Incentive Model for Crowdsensing
inferredcites →https://doi.org/10.3390/electronics9081295openalex-extracted
The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
inferredcites →https://doi.org/10.3390/s18072391openalex-extracted
Staged Incentive and Punishment Mechanism for Mobile Crowd Sensing
inferredcites →https://doi.org/10.48550/arxiv.1709.03583openalex-extracted
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
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