4.7 Article

Towards Privacy-Driven Truthful Incentives for Mobile Crowdsensing Under Untrusted Platform

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing

Zhibo Wang et al.

Summary: This paper proposes a novel personalized task-oriented worker recruitment mechanism for mobile crowdsensing systems, which carefully characterizes workers' preferences and accurately models them using content and context information. The task-worker fitness prediction is treated as a binary classification problem and the Logit model is utilized to integrate heterogeneous factors for predicting the matching probability of each task-worker pair, leading to better performance compared to benchmarks in extensive experiments on real-world datasets.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)

Article Computer Science, Information Systems

SocialRecruiter: Dynamic Incentive Mechanism for Mobile Crowdsourcing Worker Recruitment With Social Networks

Zhibo Wang et al.

Summary: This paper focuses on addressing the problem of insufficient worker participation in mobile crowdsourcing systems with limited number of workers, proposing to leverage social networks for worker recruitment, task completion, and worker pool expansion. By introducing a dynamic incentive mechanism and a task-specific epidemic model, the proposed approach effectively motivates workers to participate in task propagation and completion, dynamically updating rewards to maximize task completion within financial constraints. Extensive experimental results demonstrate that the SocialRecruiter outperforms existing approaches in terms of worker recruitment and task completion.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)

Article Engineering, Electrical & Electronic

The Security of Autonomous Driving: Threats, Defenses, and Future Directions

Kui Ren et al.

PROCEEDINGS OF THE IEEE (2020)

Proceedings Paper Computer Science, Hardware & Architecture

Towards Pattern-aware Privacy-preserving Real-time Data Collection

Zhibo Wang et al.

IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (2020)

Article Computer Science, Information Systems

Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing

Zhibo Wang et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)

Article Engineering, Electrical & Electronic

When Mobile Crowdsensing Meets Privacy

Zhibo Wang et al.

IEEE COMMUNICATIONS MAGAZINE (2019)

Proceedings Paper Computer Science, Hardware & Architecture

Towards Privacy-preserving Incentive for Mobile Crowdsensing Under An Untrusted Platform

Zhibo Wang et al.

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019) (2019)

Proceedings Paper Computer Science, Hardware & Architecture

Differentially-Private Incentive Mechanism for Crowdsourced Radio Environment Map Construction

Yidan Hu et al.

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019) (2019)

Article Computer Science, Hardware & Architecture

Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals

Zhibo Wang et al.

COMPUTER NETWORKS (2018)

Article Computer Science, Information Systems

Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms

Jian Lin et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2018)

Article Computer Science, Hardware & Architecture

Privacy-Preserving Crowdsourced Spectrum Sensing

Xiaocong Jin et al.

IEEE-ACM TRANSACTIONS ON NETWORKING (2018)

Article Computer Science, Hardware & Architecture

Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems

Haiming Jin et al.

IEEE-ACM TRANSACTIONS ON NETWORKING (2018)

Article Engineering, Electrical & Electronic

An Exchange Market Approach to Mobile Crowdsensing: Pricing, Task Allocation, and Walrasian Equilibrium

Shibo He et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2017)

Article Computer Science, Cybernetics

TaskMe: Toward a dynamic and quality-enhanced mechanism for mobile crowd sensing

Bin Guo et al.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2017)

Proceedings Paper Computer Science, Theory & Methods

Towards Smart City: Sensing Air Quality in City based on Opportunistic Crowd-sensing

Joy Dutta et al.

18TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING (ICDCN 2017) (2017)

Proceedings Paper Computer Science, Information Systems

Mobile Crowdsensing Services for Tinnitus Assessment and Patient Feedback

Ruediger Pryss et al.

2017 IEEE 6TH INTERNATIONAL CONFERENCE ON AI & MOBILE SERVICES (AIMS) (2017)

Article Chemistry, Analytical

Mobile Crowd Sensing for Traffic Prediction in Internet of Vehicles

Jiafu Wan et al.

SENSORS (2016)

Proceedings Paper Computer Science, Hardware & Architecture

Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems

Haiming Jin et al.

PROCEEDINGS 2016 IEEE 36TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS ICDCS 2016 (2016)

Article Engineering, Electrical & Electronic

Incentive Mechanisms for Time Window Dependent Tasks in Mobile Crowdsensing

Jia Xu et al.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2015)

Article Computer Science, Software Engineering

Bidder-anonymous English auction scheme with privacy and public verifiability

Yu Fang Chung et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2008)