On the public citation graph
Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing
0 signed · 60 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-11746-1_29openalex-snapshot
Cleaning Environmental Sensing Data Streams Based on Individual Sensor Reliability
inferredcites →https://doi.org/10.1007/s10115-011-0474-5openalex-snapshot
In-network outlier detection in wireless sensor networks
inferredcites →https://doi.org/10.1016/j.adhoc.2011.12.002openalex-snapshot
On the need for a reputation system in mobile phone based sensing
inferredcites →https://doi.org/10.1016/j.comnet.2015.07.011openalex-snapshot
Trust management and reputation systems in mobile participatory sensing applications: A survey
inferredcites →https://doi.org/10.1016/j.inffus.2016.04.007openalex-snapshot
Spatial anomaly detection in sensor networks using neighborhood information
inferredcites →https://doi.org/10.1109/access.2016.2553681openalex-snapshot
A Survey on Trajectory Data Mining: Techniques and Applications
inferredcites →https://doi.org/10.1109/bigdata.2017.8258222openalex-snapshot
Data quality challenges with missing values and mixed types in joint sequence analysis
inferredcites →https://doi.org/10.1109/bigdata.2017.8258428openalex-snapshot
Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors
inferredcites →https://doi.org/10.1109/bigdataservice.2016.41openalex-snapshot
Cleaning Framework for BigData: An Interactive Approach for Data Cleaning
inferredcites →https://doi.org/10.1109/ccnc.2017.7983200openalex-snapshot
A novel cleaning approach of environmental sensing data streams
inferredcites →https://doi.org/10.1109/glocom.2013.6831055openalex-snapshot
Multiple attributes-based data recovery in wireless sensor networks
inferredcites →https://doi.org/10.1109/icc.2016.7511255openalex-snapshot
Data correlation based crowdsensing enhancement for environment monitoring
inferredcites →https://doi.org/10.1109/iccnc.2018.8390371openalex-snapshot
Semantic-Aware Clustering-based Approach of Trajectory Data Stream Mining
inferredcites →https://doi.org/10.1109/icde.2009.100openalex-snapshot
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
inferredcites →https://doi.org/10.1109/icde.2012.85openalex-snapshot
Detecting Outliers in Sensor Networks Using the Geometric Approach
inferredcites →https://doi.org/10.1109/infcom.2013.6566962openalex-snapshot
Data loss and reconstruction in sensor networks
inferredcites →https://doi.org/10.1109/infocom.2017.8057033openalex-snapshot
Context-aware data quality estimation in mobile crowdsensing
inferredcites →https://doi.org/10.1109/issc.2015.7163762openalex-snapshot
Context aware model-based cleaning of data streams
inferredcites →https://doi.org/10.1109/rtas.2010.15openalex-snapshot
Watchdog: Confident Event Detection in Heterogeneous Sensor Networks
inferredcites →https://doi.org/10.1145/1288107.1288137openalex-snapshot
Outlier detection in sensor networks
inferredcites →https://doi.org/10.1145/1858158.1858162openalex-snapshot
Provenance-based trustworthiness assessment in sensor networks
inferredcites →https://doi.org/10.1145/3139256openalex-snapshot
Quality of Information in Mobile Crowdsensing
inferredcites →https://doi.org/10.1145/3154423openalex-snapshot
Estimating Spatial Averages of Environmental Parameters Based on Mobile Crowdsensing
inferredcites →https://doi.org/10.1155/2015/431047openalex-snapshot
Data Mining for the Internet of Things: Literature Review and Challenges
inferredcites →https://doi.org/10.15783/c7qc7mopenalex-snapshot
CRAWDAD dataset roma/taxi (v. 2014-07-17)
inferredcites →https://doi.org/10.48550/arxiv.0905.0200openalex-snapshot
A Vehicle for Research: Using Street Sweepers to Explore the Landscape of Environmental Community Action
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-65796-3_21openalex-snapshot
A Smart Environment Monitoring Application for Mobile Internet of Things
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109456openalex-snapshot
A cooperative detection scheme for malicious nodes based on D-S trust evidence reasoning in mobile crowdsensing networks
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.09.001openalex-snapshot
Data fusion and transfer learning empowered granular trust evaluation for Internet of Things
inferred← citeshttps://doi.org/10.1038/s41598-022-25920-wopenalex-snapshot
A new paradigm of reliable sensing with field-deployed electrochemical sensors integrating data redundancy and source credibility
inferred← citeshttps://doi.org/10.1109/access.2022.3231549openalex-snapshot
Trust-3DM: Trustworthiness-Based Data-Driven Decision-Making Framework Using Smart Edge Computing for Continuous Sensing
inferred← citeshttps://doi.org/10.1109/access.2025.3533306openalex-snapshot
Designing a Trust-Aware Reputation Model for Enhanced Data Quality in Human-Centric Sensing Systems
inferred← citeshttps://doi.org/10.1109/eit57321.2023.10187280openalex-snapshot
Analysis of Mobile Sensing Applications for Pandemic Monitoring
inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10000854openalex-snapshot
Impact of Users' Mobility on the Quality of Edge Sensing Systems
inferred← citeshttps://doi.org/10.1109/icc42927.2021.9500670openalex-snapshot
Collaborative Participatory Crowd Sensing Using Reputation and Reliability with Expectation Maximization for IoT Networks
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10217955openalex-snapshot
FedCrowdSensing: Incentive Mechanism for Crowdsensing Based on Reputation and Federated Learning
inferred← citeshttps://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00195openalex-snapshot
Sensor-Chain: A Lightweight Scalable Blockchain Framework for Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2021.3138131openalex-snapshot
Privacy-Protecting and Reputation-Based Participant Recruitment Scheme for IoV-Based MCS
inferred← citeshttps://doi.org/10.1109/jiot.2025.3557017openalex-snapshot
Two-Stage Incentive Mechanism Based on a Cooperative Mode: A Stackelberg Game Approach
inferred← citeshttps://doi.org/10.1109/mobilecloud48802.2020.00015openalex-snapshot
Participant Comfort Adaptation in Dependable Mobile Crowdsensing Services
inferred← citeshttps://doi.org/10.1109/msn50589.2020.00063openalex-snapshot
Privacy-Protecting Reputation Management Scheme in IoV-based Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/sose49046.2020.00012openalex-snapshot
On Coalitional and Non-Coalitional Games in the Design of User Incentives for Dependable Mobile Crowdsensing Services
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3396342openalex-snapshot
$\mathsf {AVeCQ}$: Anonymous Verifiable Crowdsourcing With Worker Qualities
inferred← citeshttps://doi.org/10.1109/tmc.2024.3360859openalex-snapshot
Familiar Paths are the Best: Incentive Mechanism Based on Path-Dependence Considering Space-Time Coverage in Crowdsensing
inferred← citeshttps://doi.org/10.1109/tmc.2024.3396512openalex-snapshot
EHTA: An Environment-Cost-Based Heterogeneous Task Allocation in Vehicular Crowdsensing
inferred← citeshttps://doi.org/10.1109/tpds.2021.3104247openalex-snapshot
Addictive Incentive Mechanism in Crowdsensing From the Perspective of Behavioral Economics
inferred← citeshttps://doi.org/10.1109/tsc.2022.3198436openalex-snapshot
Incentive Mechanism for Mobile Crowdsensing with Two-Stage Stackelberg Game
inferred← citeshttps://doi.org/10.1109/wf-iot62078.2024.10811174openalex-snapshot
Multidimensional Feature Learning Enhancement in IoT Intrusion Detection: An Adaptive Cost-Sensitive Autoencoder and Weighted Ensemble Approach
inferred← citeshttps://doi.org/10.1109/wf-iot62078.2024.10811358openalex-snapshot
UAV-Based Efficient and Reliable Wildfire Detection on the Edge
inferred← citeshttps://doi.org/10.25148/etd.fidc008855openalex-snapshot
Trajectory Privacy Preservation and Lightweight Blockchain Techniques for Mobility-Centric IoT
inferred← citeshttps://doi.org/10.25148/etd.fidc009671openalex-snapshot
Digital Twin-Based Cooperative Control Techniques for Secure and Intelligent Operation of Distributed Microgrids
inferred← citeshttps://doi.org/10.3390/s25041171openalex-snapshot
RCoD: Reputation-Based Context-Aware Data Fusion for Mobile IoT
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.