Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach-Reference-Cited by-同舟云学术

Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach

Published:2024-10 Issue:10 Volume:23 Page:10093-10110
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Zhan Zhongwei¹^ORCID,Wang Yingjie¹^ORCID,Duan Peiyong²^ORCID,Sai Akshita Maradapu Vera Venkata³^ORCID,Liu Zhaowei¹^ORCID,Xiang Chaocan⁴^ORCID,Tong Xiangrong¹^ORCID,Wang Weilong⁵^ORCID,Cai Zhipeng³^ORCID

Affiliation:

1. School of Computer and Control Engineering, Yantai University, Yantai, China

2. Department of Electrical and Control, Qilu University of Technology(Shandong Academy of Sciences), Jinan, China

3. Department of Computer Science, Georgia State University, Atlanta, GA, USA

4. College of Computer Science, Chongqing University, Chongqing, China

5. Department of Computer Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Youth Innovation Science and Technology Support Program of Shandong Provincial

Natural Science Foundation of Shandong Province

Key projects of Shandong Natural Science Foundation

Major scientific and technological innovation projects of Shandong Province

Yantai Science and Technology Innovation Development Plan Project

Beijing University of Posts and Telecommunications

Graduate Innovation Foundation of Yantai University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7755/10663873/10461069.pdf?arnumber=10461069

Reference62 articles.

1. Data-Driven Many-Objective Crowd Worker Selection for Mobile Crowdsourcing in Industrial IoT

2. Fast Anomaly Identification Based on Multi-Aspect Data Streams for Intelligent Intrusion Detection Toward Secure Industry 4.0

3. Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

4. A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

5. A trustless architecture of blockchain-enabled metaverse