Results 181 to 190 of about 5,841 (261)

Incentivization for Health Crowdsensing

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
Crowdsensing in the case of health-related information can enable a new mode of health data collection, able to collect more detailed and real-world health and physiological data than possible via traditional means. Various incentivization schemes for crowdsensing in general have been proposed, but there are characteristics specific to the health ...
Luis Gabriel Jaimes, Robert Steele
openaire   +1 more source

Mobile Crowdsensing Model: A survey

Journal of Systems Architecture
Abderrafi Abdeddine, Youssef Iraqi, Loubna Mekouar   +2 more
openaire   +2 more sources

CALRA: Practical Conditional Anonymous and Leakage-Resilient Authentication Scheme for Vehicular Crowdsensing Communication

IEEE transactions on intelligent transportation systems (Print)
Vehicular crowdsensing (VCS) has aroused extensive attention because of its ability to provide comprehensive data services for intelligent transportation systems. Wherein, secure data transmission is a prerequisite for realizing the above benefits of VCS.
Jianru Xiao, Yilong Ren, Jiewei Du, Yanan Zhao, Saru Kumari, Mohammed J. F. Alenazi, Haiyang Yu   +6 more
semanticscholar   +1 more source

A New Data Completion Perspective on Sparse CrowdSensing: Spatiotemporal Evolutionary Inference Approach

IEEE Transactions on Mobile Computing
Mobile CrowdSensing (MCS) has emerged as a popular paradigm to engage mobile users in collaborative sensing tasks. However, its performance is hindered by its limited spatiotemporal range and the cost of data collection.
E. Wang, Zixuan Song, Mengni Wu, Wenbin Liu, Bo Yang, Yongjian Yang, Jie Wu   +6 more
semanticscholar   +1 more source

ETBP-TD: An Efficient and Trusted Bilateral Privacy-Preserving Truth Discovery Scheme for Mobile Crowdsensing

IEEE Transactions on Mobile Computing
Mobile Crowdsensing (MCS) has emerged as a promising sensing paradigm for accomplishing large-scale tasks by leveraging ubiquitously distributed mobile workers.
Jingpo Bai, Jinsong Gui, Tian Wang, H. Song, Anfeng Liu, Neal N. Xiong   +5 more
semanticscholar   +1 more source

Browser-enabled distributed crowdsensing

2017 4th Experiment@International Conference (exp.at'17), 2017
Mobile Crowdsensing is often used for involving large number of persons in distributed sensing experiments. In some cases, (e.g., online games, online sensing of sensitive data, etc.) privacy and security issues arise. Peer-to-peer networks can be effectively used to guarantee anonymity and solve the above mentioned issues.
Bochicchio, Mario A., Longo, Antonella, Vaira, Lucia, Zappatore, Marco, Cazzella, Lorenzo   +4 more
openaire   +1 more source

Privacy-Preserving User Recruitment With Sensing Quality Evaluation in Mobile Crowdsensing

IEEE Transactions on Dependable and Secure Computing
Recruiting users in mobile crowdsensing (MCS) can make the platform obtain high-quality data to provide better services. Although the privacy leakage during the process of user recruitment has received a lot of research attention, none of the existing ...
Jieying An, Yanbing Ren, Xinghua Li, Man Zhang, Bin Luo, Yinbin Miao, Ximeng Liu, R. Deng   +7 more
semanticscholar   +1 more source

CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning

IEEE Transactions on Mobile Computing, 2023
As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good scalability and low deployment cost but raises privacy concerns.
Bowen Zhao, Ximeng Liu, Wei-neng Chen, R. Deng   +3 more
semanticscholar   +1 more source

Ensuring Threshold AoI for UAV-Assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning With Transformer

IEEE/ACM Transactions on Networking
Unmanned aerial vehicle (UAV) crowdsensing (UCS) is an emerging data collection paradigm to provide reliable and high quality urban sensing services, with age-of-information (AoI) requirement to measure data freshness in real-time applications.
Hao Wang, C. Liu, Haoming Yang, Guoren Wang, K. Leung   +4 more
semanticscholar   +1 more source

A Lightweight Privacy Preservation Scheme With Efficient Reputation Management for Mobile Crowdsensing in Vehicular Networks

IEEE Transactions on Dependable and Secure Computing, 2023
Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices to accomplish the same sensing task. However, in vehicular networks, how to evaluate the reliability of sensing vehicles and achieve lightweight privacy ...
Yudan Cheng, Jianfeng Ma, Zhiquan Liu, Yongdong Wu, Kaimin Wei, Caiqin Dong   +5 more
semanticscholar   +1 more source