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The Accuracy-Privacy Trade-off of Mobile Crowdsensing

Mohammad Abu Alsheikh, Yutao Jiao, Dusit Niyato, Ping Wang, Derek Leong, Zhu Han
2017 IEEE Communications Magazine  
This article addresses the contradicting incentives of privacy preservation by crowdsensing users and accuracy maximization and collection of true data by service providers.  ...  We firstly define the individual contributions of crowdsensing users based on the accuracy in data analytics achieved by the service provider from buying their data.  ...  Challenges of Privacy Preservation in Mobile Crowdsensing The authors in [12] reviewed the privacy threats and protection methods during the task management in mobile crowdsensing.  ... 
doi:10.1109/mcom.2017.1600737 fatcat:7umd2g2cd5ewjasdcg5s5x2jkm

The Accuracy-Privacy Tradeoff of Mobile Crowdsensing [article]

Mohammad Abu Alsheikh, Yutao Jiao, Dusit Niyato, Ping Wang, Derek Leong, Zhu Han
2017 arXiv   pre-print
This article addresses the contradicting incentives of privacy preservation by crowdsensing users and accuracy maximization and collection of true data by service providers.  ...  We firstly define the individual contributions of crowdsensing users based on the accuracy in data analytics achieved by the service provider from buying their data.  ...  Challenges of Privacy Preservation in Mobile Crowdsensing The authors in [12] reviewed the privacy threats and protection methods during the task management in mobile crowdsensing.  ... 
arXiv:1702.04565v1 fatcat:wuypzx5tovc2pdvw22i4he2xwe

Federated Learning in Smart City Sensing: Challenges and Opportunities

Ji Chu Jiang, Burak Kantarci, Sema Oktug, Tolga Soyata
2020 Sensors  
Despite their effectiveness, legacy data acquisition models backed with centralized Machine Learning models entail security and privacy concerns, and lead to less participation in large-scale sensing and  ...  These valuable data can be leveraged to train advanced Artificial Intelligence (AI) models that serve various smart services that benefit society in all aspects.  ...  Sensing as a Service and Mobile Crowdsensing is most prevalent in optimizing traffic control in smart cities.  ... 
doi:10.3390/s20216230 pmid:33142863 pmcid:PMC7662977 fatcat:gl7qvweau5gzjmld6n6jabxcee

A Blockchain Based Privacy-Preserving Incentive Mechanism for Internet of Vehicles in Satellite-Terrestrial Crowdsensing

Zhuojia Ma, Yingqing Wang, Jiawei Li, Yang Liu
2021 2021 7th International Conference on Computer and Communications (ICCC)  
Crowdsensing has been a popular technology recently and has broad application prospects. e Internet of Vehicles (IoV) refers to the effective utilization of static and dynamic information on the network  ...  However, preserving the privacy of workers and incentivizing them should be concerned. To this end, we apply the satellite-terrestrial system to solve the communication limitation among vehicles.  ...  ISP will broadcast the set of tasks (T) to a specific set of vehicles based on some characters like their locations in the cellular network.  ... 
doi:10.1109/iccc54389.2021.9674460 fatcat:457og6jm2bf25jnwlpzdha3dzy

A Privacy-Preserving Incentive Mechanism for Data Offloading in Satellite-Terrestrial Crowdsensing

Boxiang Zhu, Jiarui Li, Zhongkai Liu, Yang Liu, Chi Lin
2021 Wireless Communications and Mobile Computing  
crowdsensing in areas such as intelligent vehicles, spectrum sensing, and environmental surveillance.  ...  In data offloading tasks, users' location information is usually required for optimal task assignment, while some users in remote areas are unable to access base station signals, making them incapable  ...  Related Work Privacy-Preserving in Crowdsensing. There has been so much work made great effort to guarantee privacy in data offloading.  ... 
doi:10.1155/2021/1951095 fatcat:av7fxdthenccxagsv3e2czgi2a

Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing [article]

Jianbing Ni, Kuan Zhang, Qi Xia, Xiaodong Lin, Xuemin Shen
2018 arXiv   pre-print
Therefore, how to resolve the contradiction between user privacy and task allocation is challenging in mobile crowdsensing.  ...  In this paper, we propose SPOON, a strong privacy-preserving mobile crowdsensing scheme supporting accurate task allocation from geographic information and credit points of mobile users.  ...  In summary, privacy preservation and task allocation become a pair of contradictory objectives in mobile crowdsensing.  ... 
arXiv:1806.04057v1 fatcat:s5bsackfzray5lffyhcqchyfw4

Credibility on Crowdsensing Data Acquisition

Manuel Neto, Danielo Gomes, José Soares
2019 Journal of Communication and Information Systems  
The results show that the absence of standard models in the data capture process and the human factors such as individualism, inattention, and the possibility of errors (whether they are intentional or  ...  However, one concern with crowdsensing is the information credibility and, over the last few years, we have seen a variety of approaches to leverage credibility on the crowdsensing platforms.  ...  ACKNOWLEDGMENTS This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) -Finance Code 001.  ... 
doi:10.14209/jcis.2019.26 fatcat:o4cja467jbgenap4akpxmcu3ym

Table of contents

2021 IEEE transactions on intelligent transportation systems (Print)  
Chen, and Z. Liu Optimal Location Privacy Preserving and Service Quality Guaranteed Task Allocation in Vehicle-Based Crowdsensing Networks ....................................................... Y.  ...  Chen ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions ............................................................ A. Mehra, M.  ... 
doi:10.1109/tits.2021.3090975 fatcat:6u4yflow6fgdlen2qtrj6xfoca

Deep Learning for Mobile Crowdsourcing Techniques, Methods, and Challenges: A Survey

Bingchen Liu, Weiyi Zhong, Jushi Xie, Lingzhen Kong, Yihong Yang, Chuang Lin, Hao Wang
2021 Mobile Information Systems  
However, the complexity of a mobile crowdsourcing task makes it hard to pursue an optimal resolution with limited computing resources, as well as various task constraints.  ...  In this situation, deep learning has provided a promising way to pursue such an optimal resolution by training a set of optimal parameters.  ...  In Ref. [43] , Wang et al. put forward a novel location privacy-preserving approach, which integrates k-anonymity and differential privacy-preserving.  ... 
doi:10.1155/2021/6673094 doaj:526bd22b22354287b58ac08179088be1 fatcat:gotbqx6tmvglxmciyhmxezlvfq

2020 Index IEEE Transactions on Mobile Computing Vol. 19

2021 IEEE Transactions on Mobile Computing  
., +, TMC March 2020 552-565 Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing.  ...  ., +, TMC April 2020 865-879 Dynamic programming Location-Aware Crowdsensing: Dynamic Task Assignment and Truth Infer- ence.  ... 
doi:10.1109/tmc.2020.3036773 fatcat:6puiux5lp5bfvjo47ey7ycwyfu

Guest Editorial Emerging Computing Offloading for IoTs: Architectures, Technologies, and Applications

Jiannong Cao, Deyu Zhang, Haibo Zhou, Peng-Jun Wan
2019 IEEE Internet of Things Journal  
We also would like to thank all the reviewers who dedicated their efforts in reviewing the papers, and for their valuable comments and constructive suggestions to significantly improve the quality of the  ...  We hope that the special issue can serve as a good reference for scientists, engineers, and academicians in the area of computation offloading in IoTs. JIANNONG CAO  ...  In "Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing," the authors study the problem of latency and quality-optimized task allocation in vehicular fog computing (VFC) that  ... 
doi:10.1109/jiot.2019.2921217 fatcat:yxc2v2whm5gtzhpefivtgt5uxy

Federated Learning for Internet of Things: A Comprehensive Survey [article]

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 arXiv   pre-print
, and IoT privacy and security.  ...  Particularly, we explore and analyze the potential of FL for enabling a wide range of IoT services, including IoT data sharing, data offloading and caching, attack detection, localization, mobile crowdsensing  ...  FL for IoT Privacy and Security [101] IoT privacy preservation VFL - Vehicles Data centre An FL-based scheme for privacy preservation in vehicular IoT.  ... 
arXiv:2104.07914v1 fatcat:b5wsrfcbynel7jqdxpfw4ftwh4

Federated Learning for Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 IEEE Communications Surveys and Tutorials  
, and IoT privacy and security.  ...  Particularly, we explore and analyze the potential of FL for enabling a wide range of IoT services, including IoT data sharing, data offloading and caching, attack detection, localization, mobile crowdsensing  ...  FL-Based Techniques for Privacy and Security in IoT Services and Networks In IoT networks, security and privacy remain huge issues for IoT devices, which introduce a whole new degree of attacks and privacy  ... 
doi:10.1109/comst.2021.3075439 fatcat:ycq2zydqrzhibfqyo4vzloeoqy

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions and Opportunities

Andrea Capponi, Claudio Fiandrino, Burak Kantarci, Luca Foschini, Dzmitry Kliazovich, Pascal Bouvry
2019 IEEE Communications Surveys and Tutorials  
Mobility and intelligence of humans guarantee higher coverage and better context awareness if compared to traditional sensor networks.  ...  Mobile crowdsensing (MCS) has gained significant attention in recent years and has become an appealing paradigm for urban sensing.  ...  In [200] , the authors focus on the allocation of location-dependent tasks, which is a NP-hard and propose a local-ratio-based algorithm (LRBA).  ... 
doi:10.1109/comst.2019.2914030 fatcat:psvt24nrjbcldpixw6b7stzm3a

Providing Task Allocation and Secure Deduplication for Mobile Crowdsensing via Fog Computing

Jianbing Ni, Kuan Zhang, Yong Yu, Xiaodong Lin, Xuemin Sherman Shen
2018 IEEE Transactions on Dependable and Secure Computing  
In this paper, we propose a fog-assisted mobile crowdsensing framework, enabling fog nodes to allocate tasks based on user mobility for improving the accuracy of task assignment.  ...  In doing so, Chameleon hash function is leveraged to achieve contribution claim and reward retrieval for anonymous mobile users.  ...  optimize task allocation using cloaked location.  ... 
doi:10.1109/tdsc.2018.2791432 fatcat:y4dbylkigzeolj4cg77i3kfwde
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